Reverse Dependencies of gym
The following projects have a declared dependency on gym:
- gym-square — A simple square world environment for openai/gym
- gym-starter-kit — Gym Starter Kit: A running environment for developing OpenAI Gym agents.
- gym-staticinvader — A small example package
- gym-stopping — A OpenAI Gym Env for continuous control
- gym-sudoku — Sudoku environment for OpenAI gym
- gym-sumo — no summary
- gym-tafc — no summary
- gym-tictactoe — Tic-Tac-Toe environment in OpenAI gym
- gym-tictactoe-np — 3D TicTacToe environment for OpenAI's gym written with Numpy.
- gym-togyzkumalak — Togyzkumalak is one of the version of mancala games
- gym-torcs — A pip package for the Gym Torcs environment
- gym-toytext — Text Environments forked from OpenAI Gym
- gym-trajectory — Custom environment for OpenAI gym
- gym-twolinkarm-env — This is the open-ai-gym environment for controlling two link arm
- gym-unity — Unity Machine Learning Agents Gym Interface
- gym-update — A OpenAI Gym Env for continuous control
- gym-update1 — A OpenAI Gym Env for continuous control
- gym-update2 — A OpenAI Gym Env for continuous control
- gym-vec-env — no summary
- gym-vecenv — Python3 wrapper for running multiple OpenAI Gym compatible environments in parallel
- gym-video-streamer — Wrapper to live stream OpenAI's gym agents training process from Google Colab to Twitch/YouTube server.
- gym-vim — no summary
- gym-voltorb-flip — A VoltorbFlip environment
- gym-watertank — A gym environment pacakage for watertank and lqr
- gym-wordle — OpenAI gym environment for training agents on Wordle
- gym-yahtzee — Yahtzee game engine for OpenAI Gym
- gym-yotrading — no summary
- gym-yumi — A OpenAI Gym Env for Yumi
- gym2-fearbun — no summary
- gym2-pkg-fearbun — no summary
- gym3 — Vectorized Reinforcement Learning Environment Interface
- GymBullet-DiffBotEnv — A OpenAI Gym Environment for Pybullet DiffBot Package
- gymgrid — no summary
- gymgrid2 — no summary
- gymie — WebSocket server that exposes an API to train AI agents on OpenAI Gym and gym-api-like Environments
- gymmick — Simple functionality for the creation of visuals-based OpenAI Gym environments.
- gymnax — JAX-compatible version of Open AI's gym environments
- gymPanda-env — A OpenAI Gym Env for Panda arm
- gymz — A light-weight ZeroMQ wrapper for the OpenAI Gym.
- habitat-lab — Habitat-Lab: a modular high-level library for end-to-end development in Embodied AI.
- haibot-rosgymbullet — DiffBot Ros-Gym-Bullet Environment ( For PYTHON 2.7 )
- hal-cgp — Cartesian genetic programming (CGP) in pure Python.
- harder — Reinforcement Learning Utils
- haxballgym — HaxBallGym is a python package that can be used to treat the game HaxBall as though it were an OpenAI-style environment for Reinforcement Learning projects.
- hbrl — Library to do reinforcement learning in an easy to use way.
- hcraft — Lightweight environments to study hierarchical reasoning
- hdeeprm — Evaluate Deep Reinforcement Learning policies for heterogeneous Workload Management
- Helx — Interoperate among reinforcement learning libraries with jax, pytorch, gym and dm_env
- HELX-envs — Interoperate among reinforcement learning libraries with jax, pytorch, gym and dm_env
- hero-key-env — test
- hex-gym — A OpenAi Gym Environment for a hexapod
- highrl — Two level RL for robots navigation
- hippogym — no summary
- hj-ur5 — IAS Lab ur5
- hjj-ur — An OpenAI Gym Env for Ur
- hnp — Hyperspace Neighbour Penetration package
- homegrid — A minimal home gridworld environment to test how agents use language hints.
- householdenv — This is an environment for RL purposes
- hyperfetch — A tool to optimize and post hyperparameters for your reinforcement learning application. Currently available on Linux and macOS.
- IAS-ur5 — IAS Lab ur5
- ibm-watson-machine-learning — IBM Watson Machine Learning API Client
- ibm-watsonx-ai — IBM watsonx.ai API Client
- iglu — IGLU: Interactive Grounded Language Understanding in Minecraft
- ilpyt — The imitation learning toolbox (ilpyt) is an open-source Python code library developed at MITRE. The toolbox contains modular, optimized implementations of common deep imitation learning algorithms in PyTorch, with unified infrastructure supporting key imitation learning and reinforcement learning algorithms.
- imbDRL — Imbalanced Classification with Deep Reinforcement Learning.
- indexrl — Generate remote sensing indices using image-mask pairs.
- industrial-benchmark-python — the industrial benchmark as a python package
- inspirai-fps — An intelligent agent learning platform based on a 3D open-world FPS game
- InteractionSimulator — Simulator environment for INTERACTION driving dataset
- intersection-control — An environment-agnostic framework for implementing and comparing intersection control algorithms
- invertedai-simulate — Client Interface for InvertedAI Simulate
- irll-crafting — Lightweight environments to study hierarchical reasoning
- ivy-gym — Fully differentiable reinforcement learning environments, written in Ivy.
- JakeSilberstein-ML — Non-Functional Machine Learning Library
- JakeSilbersteinMachineLearning — Non-Functional Machine Learning Library
- jamboree — A multi-layer event sourcing and general data library. SQL, Search, Event Sourcing, and File/Model storage combined into one.
- jass-bot — An AI for the Schieber variant of the Swiss card game Jassen
- jaxex — A tool for creating science experiments in jax, torch, brax, etc
- jjm-env — A OPENAI Gym Env for jjm
- joatmon — General Purpose Python Library
- JSML — Non-Functional Machine Learning Library
- JSSEnv — An optimized OpenAi gym's environment to simulate the Job-Shop Scheduling problem.
- jssp-tool — 提供JSSP问题的工具类,如网络结构绘制、排序甘特图等
- jumanji — A diverse suite of scalable reinforcement learning environments in JAX
- jxh-env — A OpenAI Gym Env for jxh
- jzx-env — A OpenAI Gym Env for jzx
- keras-genetic — Train keras models with genetic algorithms.
- keras-gym — Plug-n-play reinforcement learning with OpenAI Gym and Keras
- keras-rl2 — Deep Reinforcement Learning for Tensorflow 2 Keras
- kgym — Implementations for the OpenAI Gym of Kaggle Environments
- Komol — A OpenAI Gym Env for foo
- ksh-test-foo — A OpenAI Gym Env for foo
- kshgym1 — A OpenAI Gym Env for foo
- l2r — a OpenAI gym environment for high performance autonomous racing
- l3c — L3C provide abundant environments for Lifelong Learning (L3) in Context.
- l5kit — Level-5 Autonomous Vehicle Research library
- LaRoboLiga24 — A OpenAI Gym Env for the event LaRoboLiga
- lazaro — Reinforcement learning framework for implementing custom models on custom environments using state of the art RL algorithms
- lbforaging — Level Based Foraging Environment
- learnrl — A package to learn about Reinforcement Learning