- Gym python github 7. 0 pybullet (if you want to train agents for bullet env Personal Fitness Tracker is a simple and efficient Python-based web application that helps users track their workouts, meals, and weight progress. Gym environments two simulate one dimensional platoon problems with a stochastic jammer in front of the platoon. Contribute to itsvinayak/FitMe development by creating an account on GitHub. Tutorial: Reinforcement Learning with OpenAI Gym EMAT31530/Nov 2020/Xiaoyang Wang This repository contains an implementation of the Proximal Policy Optimization (PPO) algorithm for use in OpenAI Gym environments using PyTorch. 0 release and follow semantic versioning. with miniconda: TransferCubeTask: The right arm needs to first pick up the red cube lying on the table, then place it inside the gripper of the other arm. This GitHub repository contains the implementation of the Q-Learning (Reinforcement) learning algorithm in Python. Run the local tests in the application: python main. Contribute to cycraig/gym-goal development by creating an account on GitHub. To set a PYTHON_PATH variable in the terminal that links to the python executable, we can run a command that resembles the following. This package aims to greatly simplify the research phase by offering : Easy and quick download technical data on several exchanges; A simple and fast environment for the user and the AI, but which allows complex operations (Short, Margin trading). pickle: Python pickle module is used for serializing and de-serializing python object structures. 10 and activate it, e. These code files implement the Deep Q-learning Network (DQN) algorithm from scratch by using Python, TensorFlow (Keras), and OpenAI Gym. Django gym website using Python, incorporating HTML and CSS for front-end design, enabling users to register, login, and access user-specific features, while providing an admin interface for performing CRUD operations This simple web application keeps track of records in a Gym. Follow the official instruction here for VSCode and here for PyCharm. Python app using kivy. The tutorial is divided into three parts: Model your problem. 0. make(spec) where the spec is an EnvSpec from gym. By default, the values of learning rate, discount factor, and number of episodes are 0. 8, 0. In previous versions, Gymnasium supported gym. 95, and 10000 respectively in the given Python script. Apr 2, 2023 · Gym 库 (https://gym. wrappers. This section gives a broad description of the functionality under the hood. FitMe gym django based website . Capobianco's Deep Reinforcement Learning class; Sapienza University of Rome Find and fix vulnerabilities Codespaces. Gymnasium is an open source Python library for developing and comparing reinforcement learning algorithms by providing a standard API to communicate between learning algorithms and environments, as well as a standard set of environments compliant with that API. The environments can be either simulators or real world systems (such as robots or games). EvoGym also includes a suite of 32 locomotion and manipulation tasks, detailed on our website. python plotly fitness data-visualization dash dashboards It is to aid and simplify the job all those who work for the gym, who train in the gym and who owns the gym. The Python interpreter specified in your IDE should be the Python where isaacgym-stubs is installed. If you want to This library contains environments consisting of operations research problems which adhere to the OpenAI Gym API. 0%; Footer The gym-electric-motor (GEM) package is a Python toolbox for the simulation and control of various electric motors. In both cases, there was no way to specify additional wrappers that should be applied to an environment. - openai/gym If using an observation type of grayscale or rgb then the environment will be as an array of size 84 x 84. Contribute to Dirk-Sandberg/Friendly-Fitness-App development by creating an account on GitHub. Saved searches Use saved searches to filter your results more quickly Simple Solvers for MountainCar-v0 and MountainCarContinuous-v0 @ gym. Highlight of the project A collection of multi agent environments based on OpenAI gym. It places your agent, a Duckiebot, inside of an instance of a Duckietown: a loop of roads with turns, intersections, obstacles, Duckie pedestrians, and other Duckiebots. The Gymnasium interface is simple, pythonic, and capable of representing general RL problems, and has a compatibility wrapper for old Gym environments: If you want to jump straight into training AI agents to play Atari games, this tutorial requires no coding and no reinforcement learning experience! We use RL Baselines3 Zoo, a powerful training framework that lets you train and test AI models easily through a command line interface. In an actor-environment setting, Gym-preCICE takes advantage of preCICE, an open-source Hyrum S. python fitness-app object-oriented-programming fitness A collection of Gymnasium compatible games for reinforcement learning. This is because gym environments are registered at runtime. py file is part of OpenAI's gym library for developing and comparing reinforcement learning algorithms. We encourage all users to migrate to the new framework for their applications. Topics # install conda env conda create -n reco-gym python=3. We will refer to this path as PYTHON_PATH. This repo records my implementation of RL algorithms while learning, and I hope it can help others learn and understand RL algorithms better. - gym/gym/spaces/space. You can contribute Gymnasium examples to the Gymnasium repository and docs directly if you would like to. Pose Estimation and Exercise detection based RNN-LSTM based model trained to predict exercise based on previous frames, further repetition counting for respective exercise. By offering a standard API to communicate between learning algorithms and environments, Gym facilitates the creation of diverse, tunable, and reproducible benchmarking suites for a broad range of tasks. Powered by the AI and computer vision, along with giving info about 3 exercises, it can also track user movements to estimate correctness of user posture, ensuring 100% outcome A toolkit for developing and comparing reinforcement learning algorithms. Jul 16, 2018 · Gym-JSBSim provides reinforcement learning environments for the control of fixed-wing aircraft using the JSBSim flight dynamics model. The purpose is to bring reinforcement learning to the operations research community via accessible simulation environments featuring classic problems that are solved both with More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects. These code files are a part of the reinforcement learning tutorial I am developing. Download the Isaac Gym Preview 4 release from the website, then follow the installation instructions in the documentation. Once those aspects are stabilized, we'll do a proper 1. Renders the information of the environment's current tick. You can use it from Python code, and soon from other languages. To contstrain this, gym_super_mario_bros. It empowers gym administrators to oversee member data, attendance, and records seamlessly. Making this with Python 3, Django 2, and PostgreSQL. Since its release, Gym's API has become the Gym encodes relatively powerful models like UNets, and provides lots of ways to manipulate data, model training, and model architectures that should yield good results with some informed experimentation; Gym works seamlessly with Doodler, a human-in-the loop labeling tool that will help you make training data for Gym. openai. python bootstrap django social-network matching python3 matchmaking social-authentication workout workout-apps django2 Updated Sep 19, 2018 This is the gym open-source library, which gives you access to an ever-growing variety of environments. If you're not sure which to choose, learn more about installing packages. Methods including Q-learning, SARSA, Expected-SARSA, DDPG and DQN. - gym/gym/core. It includes essential features like adding new members, recording their health habits and exercises, searching for member details, and managing payments. By doing so, it aims to enhance users' fitness routines. make(“”). The system stores gym membership plans and packages. InsertionTask: The left and right arms need to pick up the socket and peg Algorithm Approach. Anderson, Anant Kharkar, Bobby Filar, David Evans, Phil Roth, "Learning to Evade Static PE Machine Learning Malware Models via Reinforcement Learning", in ArXiv e-prints. It Random walk OpenAI Gym environment. This repository is structured as follows: Within the gym-chrono folder is all that you need: . OpenAI Gym / Gymnasium Compatible: Connect Four follows the OpenAI Gym / Gymnasium interface, making it compatible with a wide range of reinforcement learning libraries and algorithms. example template. GYM Management Project using Django. py at master · openai/gym Trading Gym (>Python 3. For example, if you install this repository with conda Python but select the system Python as the interpreter in your IDE, you won't have any code auto-completion. Download files. Dec 15, 2024 · The Health and Gym Management System is a console-based Python application that allows users to manage gym member details efficiently. python fitness workout fitness-tracker workout-generator A Gym Member Manager Web App using Django. 0 gym tensorboardX-1. This README provides the general instructions on how to: Run a Modelica model using Open Modelica from Python ; Convert the model to the FMU format and simulate it directly within Python using PyFMI More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects. In this project, I designed an AI that uses webcam footage to accurately detect exercises in real time and counts reps. We also encourage you to add new tasks with the gym interface, but not in the core gym library (such as roboschool) to this page as well. py Jan 29, 2023 · Farama FoundationはGymをフォーク（独自の変更や改善を行うためにGithub上のリポジトリを複製）してGymnasiumと名付けました。ここでは単にGymと呼びます。 今後、いくつかの記事にわたってGymの環境での強化学習について理論とコードの両方で解説していきます。 A toolkit for developing and comparing reinforcement learning algorithms. The project manages a fitness gym's memberships and payment records. - openai/gym More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects. Abstract Methods: This is a very basic tutorial showing end-to-end how to create a custom Gymnasium-compatible Reinforcement Learning environment. The docstring at the top of By default, this should be python. Use it to create workout plans, add exercises, and keep track of your progress over time. Following this migration, this repository will receive limited updates and support. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects. close: Typical Gym close method. Contribute to mimoralea/gym-aima development by creating an account on GitHub. 3. Contribute to Kautenja/nes-py development by creating an account on GitHub. The Gym Management System is a Python and MySQL project featuring a Tkinter GUI. CartPole A pole is attached by an un-actuated joint to a cart, which moves along a frictionless track. Contribute to storcale/language-gym-ai development by creating an account on GitHub. Exercises and Solutions to accompany Sutton's Book and David Silver's course. If using grayscale, then the grid can be returned as 84 x 84 or extended to 84 x 84 x 1 if entend_dims is set to True. By default, gym_super_mario_bros environments use the full NES action space of 256 discrete actions. The application caters to different user roles, including Admin, Coach, Member, and Visitor, each with specific responsibilities. - koulanurag/ma-gym Contribute to montmejat/slam-gym-python development by creating an account on GitHub. Nov 27, 2019 · Welcome to the OpenAI Gym wiki! Feel free to jump in and help document how the OpenAI gym works, summarize findings to date, preserve important information from gym's Gitter chat rooms, surface great ideas from the discussions of issues, etc. Instant dev environments Sep 1, 2024 · With the shift from Isaac Gym to Isaac Sim at NVIDIA, we have migrated all the environments from this work to Isaac Lab. - GitHub - Hrushi-d/Gym-Exercise-RepCounter: Elevate your workout experience with this Python-based Gym Repetition Counter. g. env. Whether you're a fitness enthusiast or just starting your journey, FitTrack is designed to make tracking your fitness goals simple and effective. This project is an AI application that utilizes Computer Vision technology, Pose Estimation, and Speech Recognition to provide accurate tracking of exercise repetitions during gym workouts. The two environments this repo offers are snake-v0 and snake-plural-v0. py at master · openai/gym The goal of this project is to train an open-source 3D printed quadruped robot exploring Reinforcement Learning and OpenAI Gym. Real-time exercise repetition tracking using Mediapipe and webcam integration. 💡 OpenAI Gym is a powerful toolkit designed for developing and comparing reinforcement learning algorithms. The Code is written in Python 3. Create a virtual environment with Python 3. txt; Activate the environment: conda activate fitness; Create a . 1. We still plan to make breaking changes to Gym itself, but to things that are very easy to upgrade (environments and wrappers), and things that aren't super commonly used (the vector API). Contribute to ernesto-munoz/python-gym development by creating an account on GitHub. GYM python. render_all: Renders the whole environment. FAQ; Table of environments; Leaderboard; Learning Resources The AI Fitness Trainer is a Python-based application designed to assist users in monitoring and improving their exercise form using real-time pose detection. The model knows it should follow the track to acquire rewards after training 400 episodes, and it also knows how to take short cuts. Real OpenAI gym interface for Franka Emika Panda robot - qgallouedec/franka_python OpenAI Gym is a python library that provides the tooling for coding and using environments in RL contexts. spec(str) or env. - gym/setup. Jul 4, 2023 · OpenAI Gym Overview. step: Typical Gym step method. Navigate to the project directory: cd Health-Fitness-Tracker; Install dependencies: conda create --name fitness --file requirements. Gym-Me (pronounced Jimmy) is a fitness tracker web app built with Python and Flask. We highly recommend using a conda environment to simplify set up. It provides a wide range of environments with different reinforcement learning tasks. Since its release, Gym's API has become the field standard for doing this. The codes are tested in the OpenAI Gym Cart Pole (v1) environment. It is built upon Faram Gymnasium Environments , and, therefore, can be used for both, classical control simulation and reinforcement learning experiments. Ensure that Isaac Gym works on your system by running one of the examples from the python/examples directory, like joint_monkey. - zijunpeng/Reinforcement-Learning Interactive Gym Buddy is an AI-powered bot which allows you to choose exercises using hand gestures through your camera and counts the reps you do only when you perform an exercise right. ndarray, Union[int, np. py: entry point and command line interpreter. PPO implementation of Humanoid-v2 from Open-AI gym. Information Gym Retro lets you turn classic video games into Gym environments for reinforcement learning and comes with integrations for ~1000 games. Functionality includes: create/save username and age; record test results; automatically calculate rank at each key stage of the program; view the training program for each day and week of the six-week program. Gym-JSBSim requires a Unix-like OS and Python 3. It helps you to keep track of the records of your members and their memberships, and allows easy communication between you and your members. The backend supports efficient gym management by streamlining data handling and providing a solid foundation for frontend integration This repository contains OpenAI Gym environment designed for teaching RL agents the ability to control a two-dimensional drone. seed: Typical Gym seed method. The goal of PLE is allow practitioners to focus design of models and experiments instead of environment design. python fitness workout fitness-tracker workout-generator GYM is an easy-to-use gym management and administration system. - akashm99/GYM-Exercise-Detection-and-Counting A gym management system app built in Python using tkinter and database which stores the data of new customers and their details related to subscription of gym packages - aditya1308/Gym-Management-System-PYTHON-GUI- AI Gym Trainer is a Python program which acts as your personal gym trainer while you exercise. Feb 13, 2025 · A terminal based python app to go through The Hundred Pushups Training Program. The wrapper is based on adding TCP/IP communication between a Simulink model running in a background instance of MATLAB Simulink and a Python wrapper class implementing the Gymnasium interface. gym tacking (joint angle calculation) using opencv, python, numpy and mediapipe - GitHub - delademf/gym_tracking_python: gym tacking (joint angle calculation) using opencv, python, numpy and mediapipe A python AI to defeat Language Gym exercises. It uses various emulators that support the Libretro API , making it fairly easy to add new emulators. We provide a gym wrapper and instructions for using it with existing machine learning algorithms which utilize gym. OpenCV is used to access the webcam on your machine, a pretrained CNN is implemented for real-time pose estimation, and custom deep learning models are built using TensorFlow/Keras The Gym Mobile Application aims to provide a comprehensive platform for gym members, coaches, and visitors, facilitating efficient management, communication, and interaction within the gym environment. reset: Typical Gym reset method. actions provides three actions lists (RIGHT_ONLY, SIMPLE_MOVEMENT, and COMPLEX_MOVEMENT) for the nes_py. The pytorch in the dependencies Fitness Devloveper is a web application developed using Django framework with python as backend language. Technologies Used Python Streamlit (for the web app Python Gym. The database consists of daily goals and stats of achievements/progress of a member who trains in the gym, contact details and personal info of everyone, training programs that the gym offers, equipment etc. python gym-management gym-application qt-python gym class CartPoleEnv(gym. Contribute to smahesh29/Gym-Member-Management development by creating an account on GitHub. For an example usage of this environment, see Reducing fuel consumption in platooning systems through reinforcement learning. It can be found on GitHub here and documentation is here. This fusion of Python, MySQL, and Tkinter optimizes gym management with a user-friendly interface. Gym is an open source Python library for developing and comparing reinforcement learning algorithms by providing a standard API to communicate between learning algorithms and environments, as well as a standard set of environments compliant with that API. - kailinwng/AI_Gym_Trainer_Python 将Modelica模型(BSM1)转换为Python OpenAI Gym环境，并使用人工智能的强化学习代理优化操作成本。 - Gandedong/BSM1_cn Python Reinforcement Learning. To make this easy to use, the environment has been packed into a Python package, which automatically registers the environment in the Gym library when the package is included in the code. A toolkit for developing and comparing reinforcement learning algorithms. Django is an open-source python web framework used gym-snake is a multi-agent implementation of the classic game snake that is made as an OpenAI gym environment. Our wrapper provides interfaces on top of our UnityEnvironment class, which is the default way of interfacing with a Unity environment via Python. - openai/gym GYM is an easy-to-use gym management and administration system. We create a Dead simple FLUX LoRA training UI with LOW VRAM support - cocktailpeanut/fluxgym A Python Project On Gym Management System Using Tkinter For Graphical User Interface And SQLite3 For Database Management. 2. Contribute to Pradip-p/GYMfits development by creating an account on GitHub. py" - you should start from here Tinder for gym bros. Gym Management system also includes additional features that will help you in the management and growth of your club and gym. spec and worked identically to the string based gym. The environments follow the standard gym's API. Variety of Bots : The environment includes a collection of Connect Four bots with different skill levels to help with the learning process and provide a diverse Oct 4, 2022 · Gym: A universal API for reinforcement learning environments. Real-Time Gym (rtgym) is a simple and efficient real-time threaded framework built on top of Gymnasium. About. Contribute to Code-Gym/python-dataset development by creating an account on GitHub. Gym is a standard API for reinforcement learning, and a diverse collection of reference environments# The Gym interface is simple, pythonic, and capable of representing general RL problems: A good starting point explaining all the basic building blocks of the Gym API. This project provides APIs for handling user interactions, employee roles, hall management, and equipment tracking. Python 3. OpenAI Gym is a toolkit for developing and comparing reinforcement algorithms. rtgym enables real-time implementations of Delayed Markov Decision Processes in real-world applications. Ensure you have Python installed on your machine. Env[np. The PPO algorithm is a reinforcement learning technique that has been shown to be effective in a wide range of tasks, including both continuous and The pendulum. monitors your exercises to help you keep count of your exercise repetitions performed, but also alerts you when you have an incorrect posture or have not performed a full repetition. Please try to model your own players and create a pull request so we can collaborate and create the best possible player. A robust backend system for managing gym operations, built with Django, Python, and MySQL. Python, OpenAI Gym, Tensorflow. . Reinforcement Q-Learning from Scratch in Python with OpenAI Gym # Good Algorithmic Introduction to Reinforcement Learning showcasing how to use Gym API for Training Agents. main. Create a new file in the attn_gym/masks/ for mask_mods or attn_gym/mods/ for score_mods. Convert your problem into a Gymnasium-compatible environment. Overview The Personal Fitness Tracker is a Streamlit-based web application that predicts the number of kilocalories burned during exercise based on user input parameters such as age, BMI, heart rate, body temperature, and duration of the exercise. Make sure to update the paths to your local path. Application can be used to add new users, plans and more for a Gym. Project completed as part of Prof. Implement your function, and add a simple main function that showcases your new function. py file to include your new function. Gym is an open source Python library for developing and comparing reinforcement learning algorithms by providing a standard API to communicate between learning algorithms and environments, as well as a standard set of environments compliant with that API. 6 conda activate reco-gym pip install recogym==0. Due to its easiness of use, Gym has been widely adopted as one the main APIs for environment interaction in RL and control. It is coded in python. - mrsidrdx/RDX-Gym-Management-System A Python3 NES emulator and OpenAI Gym interface. - openai/gym Perfect for fitness enthusiasts of all levels. Runs agents with the gym. Train your custom environment in two ways Contribute to montmejat/slam-gym-python development by creating an account on GitHub. Contribute to ArthurKakande/gym development by creating an account on GitHub. Download the file for your platform. The package's environments implement the OpenAI Gym interface allowing environments to be created and interacted with in the usual way, e. A simple gym management system to keep a track of all Equipment, Plans, Enquires and members A toolkit for developing and comparing reinforcement learning algorithms. The aim is to let the robot learns domestic and generic tasks in the simulations and then successfully transfer the knowledge (Control Policies) on the real robot without any other manual tuning. For more information on the gym interface, see here. However, making a A Gym Member Management System using Django. snake-v0 is the classic snake game. env file in the project root directory based on the . - Hamiz/gym_in_py This repository contains examples of common Reinforcement Learning algorithms in openai gymnasium environment, using Python. PLE (PyGame Learning Environment) is a learning environment, mimicking the Arcade Learning Environment interface, allowing a quick start to Reinforcement Learning in Python. JoypadSpace wrapper. ndarray]]): ### Description This environment corresponds to the version of the cart-pole problem described by Barto, Sutton, and Anderson in We would like to show you a description here but the site won’t allow us. numpy: NumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices. 6. PyBullet Gymperium is an open-source implementation of the OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform in support of open research. The tutorial This is an environment for training neural networks to play texas holdem. sh. Training machines to play CarRacing 2d from OpenAI GYM by implementing Deep Q Learning/Deep Q Network(DQN) with TensorFlow and Keras as the backend. This project utilizes computer vision techniques with OpenCV and MediaPipe to track body movements during various exercises, providing feedback on performance and counting repetitions. For detailed instructions on how to wrap a simulink model, see below. Command line arguments to modify the amount of training episodes. [Optinally] Add an end to end example using your new func in the examples/ directory. gym: Gym is a toolkit for developing and comparing reinforcement learning algorithms. Saving and OpenAI Gym environment for Robot Soccer Goal. An OpenAI Gym implementation of the famous Connect 4 environment - Danielhp95/gym-connect4 GitHub community articles Python 100. Built using Flask, Pandas, and Scikit-Learn, this project allows users to log their fitness activities and receive personalized calorie recommendations using machine learning. We encourage you to contribute and modify this page and add your scores and links to your write-ups and code to reproduce your results. A Python Project On Gym Management System Using Tkinter For Graphical User Interface And SQLite3 For Database Management. Tech stack Python - OpenCV and Mediapipe Gym-Duckietown is a simulator for the Duckietown Universe, written in pure Python/OpenGL (Pyglet). Users can be associated with a plan to keep track of payments and facilities offered. py. The codes are tested in the Cart Pole OpenAI Gym (Gymnasium) environment. Apr 30, 2024 · Anyone can edit this page and add to it. OpenAI's Python module "gym" provides us with many environments with which we can experiment and solve. python django fitness self-hosted gym hacktoberfest GitHub community articles Repositories. - qlan3/gym-games Evolution Gym is a large-scale benchmark for co-optimizing the design and control of soft robots. 2 pytorch 0. py at master · openai/gym Gym is an open source Python library for developing and comparing reinforcement learning algorithms by providing a standard API to communicate between learning algorithms and environments, as well as a standard set of environments compliant with that API. This repository is no longer maintained, as Gym is not longer maintained and all future maintenance of it will occur in the replacing Gymnasium library. Follow troubleshooting Transform a Modelica model (BSM1) into a Python OpenAI Gym environment, and optimize operation cost using reinforcement learning agents. It provides a lightweight soft-body simulator wrapped with a gym-like interface for developing learning algorithms. Might also be extended to add 'Complaints' model where users can submit complaints Welcome to the RFRL GYM Python Package! The RFRL Gym is intended as a training and research environment for wireless communications applications designed to provide comprehensive functionality, such as custom scenario generation, multiple learning settings, and compatibility with third-party RL packages. The tutorial webpage explaining the posted codes is given here: "driverCode. env: gymnasium environment wrapper to enable RL training using PyChrono simulation Implementation of Reinforcement Learning Algorithms. Update the attn_gym/*/__init__. A visualization chart depicting your performance throughout the exercise will be displayed when you end the program MO-Gymnasium is an open source Python library for developing and comparing multi-objective reinforcement learning algorithms by providing a standard API to communicate between learning algorithms and environments, as well as a standard set of environments compliant with that API. Contribute to sebastiandotdev/exercises-python development by creating an account on GitHub. render: Typical Gym render method. 7) Trading Gym is an open-source project for the development of deep reinforcement learning algorithms in the context of forex trading. Contribute to mimoralea/gym-walk development by creating an account on GitHub. Perfect for fitness enthusiasts of all levels. Creating the Frozen Lake environment using the openAI gym library and initialized a Q-table with zeros. com) 是OpenAI推出的 强化学习 实验环境库。 它用Python语言实现了离散之间智能体-环境接口中的环境部分。 本文中“环境”一次均指强化学习基本框架模型之“智能体-环境”接口中的“环境”，每个环境就代表着一类强化学习问题，用户通过设计和训练自己的智能体来解决这些强化学习问题。 所以，某种意义上，Gym也可以看作是一个强化学习习题集！ 本文介绍gym入门所需要必要最小知识集合，并以一个完整的代码示例结束。 Gymnasium is a maintained fork of OpenAI’s Gym library. Built with Python and PyQt5, this tool allows users to log daily workouts, track calories burned, and visualize progress with easy-to-read graphs. : May 4, 2023 · Gym-preCICE is a Python preCICE adapter fully compliant with Gymnasium (also known as OpenAI Gym) API to facilitate designing and developing Reinforcement Learning (RL) environments for single- and multi-physics active flow control (AFC) applications. gym makes no assumptions about the structure of your agent, and is compatible with any numerical computation library, such as TensorFlow or Theano.