Reverse Dependencies of gym
The following projects have a declared dependency on gym:
- deprl — DEP-RL, a method for robust control of musculoskeletal systems.
- DI-engine — Decision AI Engine
- diambra-arena — DIAMBRA™ Arena. Built with OpenAI Gym Python interface, easy to use, transforms popular video games into Reinforcement Learning environments
- disco-rl — This package provides a collection of modules and examples to quickly setup experiments using DISCO: Double Likelihood-free Inference Stochastic Control.
- distracting-control — distractor control suite contains variants of the DeepMind Control suite with visual distraction
- dm-env-wrappers — A collection of wrappers for dm_env environments
- dm2gym — dm2gym: Convert DeepMind Control Suite to OpenAI gym environments.
- dopamine-rl — Dopamine: A framework for flexible Reinforcement Learning research
- double-cartpole-custom-gym-env — OpenAI Gym environment designed for training RL agents to balance double CartPole.
- dragg-comp — no summary
- dragg-gym — no summary
- dream-on-gym — no summary
- drl-model — DRL logic
- drlgeb — A sample but effective drl lib.
- drlkit — A High Level Python Deep Reinforcement Learning library. Great for beginners, for prototyping and quickly comparing algorithms
- drone-2d-custom-gym-env — OpenAI Gym environment designed for training RL agents to control the flight of a two-dimensional drone.
- dsrl — Datasets for Offline Safe Reinforcement Learning
- dsu — no summary
- DTRGym — A Collection of Reinforcement Learning Environments for Dynamic Treatment Regime Simulation.
- DXC-RL — Python library which is extensively used for all AI projects
- dyn-rl-benchmarks — Reinforcement learning benchmark problems set in dynamic environments.
- DynEnv — Dynamic RL Environments for Autonomous Driving and Robot Soccer
- easysim — A library for creating Gym environments with unified API to various physics simulators
- EduSim — This project aims to provide some offline simulators for training and testing recommender systems of education.
- efficient-rl — Reimplementation of Diuks "object-oriented representation for efficient RL".
- elegantrl — Lightweight, Efficient and Stable DRL Implementation Using PyTorch
- emote-rl — A modular reinforcement learning library
- envpool — "envpool"
- epann — EPANN: Evolving Plastic Artificial Networks for General Intelligence
- epct — Evolutionary approach to constructing PCT hierarchies
- es-distributed — no summary
- ethical-rl — Ethical Reinforcement Learning Library
- eve-ml — Eve: make deep learning more interesting.
- evolvepy — EvolvePy is a Python module created to allow the easy creation and execution of evolutionary algorithms.
- factory-ai — no summary
- FAMEwork — Framework for Adversarial Malware Evaluation
- farmworld — Reinforcement Learning for Agriculture
- fast-rl — Fastai for computer vision and tabular learning has been amazing. One would wish that this would be the same for RL. The purpose of this repo is to have a framework that is as easy as possible to start, but also designed for testing new agents.
- fastbet — Create a custom gym environment to simulate simple betting strategy.
- fastrl — fastrl is a reinforcement learning library that extends Fastai. This project is not affiliated with fastai or Jeremy Howard.
- fastrlapi — reinforcement learning high-level API.
- FiddleOptions — Fiddle Options Platform
- finrl-meta — FinRL-Meta: A Universe of Market Environments for Data-Driven Financial Reinforcement Learning
- flamme-rouge — An implementation of Asger Harding Granerud's game Flamme Rouge
- flappy-bird-gym — An OpenAI gym environment for the Flappy Bird game.
- flappy-bird-gymS — An OpenAI gym environment for the Flappy Bird game.
- flashcrashed — Minimal library for detecting flash crashes in cryptocurrency prices on Bitfinex
- flat-world — A text memory meant to be used with conversational language models.
- flatland-rl — Multi Agent Reinforcement Learning on Trains
- flatland-solver-policy — Flatland solvers
- fomoro-pyoneer — Tensor utilities, reinforcement learning, and more!
- fragile — Framework for developing FractalAI based algorithms.
- franka-valve — Rotate a valve using Franka Panda with Reinforcement Learning in mujoco simulation.
- frc-gym — no summary
- fruit-slots — An experiment in implicit communication between learning agents
- functionalfilet — Evolutionnary Neural Network Model with PyTorch
- genrl — A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations.
- gibson2 — no summary
- glycosylator — A python package for structural simulation of protein glycosylation
- gncpy — A package for Guidance, Navigation, and Control (GNC) algorithms.
- gobigger — Go-Bigger: Multi-Agent Decision Intelligence Environment
- Graph-RL — Hierarchical reinforcement learning framework which uses a directed graph to define the hierarchy.
- graphRL — a directed acyclic graph environment for use with openAI gym
- graphRLnx — a directed acyclic graph environment for use with openAI gym, with a networkX backend
- grid-draw — An OpenAI Gym Environment to draw on a grid.
- griddly — Griddly Python Libraries
- gridgym — An OpenAI Gym environment for resource and job management systems.
- GXYUR-env — An OpenAI Gym Env for dual UR5
- gym-2048-extended — OpenAI Gym Environment for 2048 extended functionality
- gym-adserver — An OpenAI gym environment for ad serving algorithms.
- gym-algorithmic — Algorithmic Environments from OpenAI Gym
- gym-anm — A framework to build Reinforcement Learning environments for Active Network Management tasks in electricity networks.
- gym-attitudecontrol — no summary
- gym-banana — A simple stochastic OpenAI environment for training RL agents
- gym-bandits — Implements multi-armed bandits
- gym-blocksudoku — OpenAI Gym Environment for Block Sudoku
- gym-breakout-pygame — Gym Breakout environment using Pygame.
- gym_bridge — no summary
- gym-buy-high-sell-low — An OpenAI Gym stock market environment
- gym-bwm — An OpenAI Gym Env for Panda
- gym-cabworld — Cabworld Reinforcement Environment
- gym-cache — gym environment simulating file cache.
- gym-cap — no summary
- gym-cartpole — no summary
- gym-cartpole-swingup — A simple, continuous-control environment for OpenAI Gym
- gym-causalenv — no summary
- gym-chess — OpenAI Gym environments for Chess
- gym-chrome-dino — Chrome Dino in OpenAI Gym
- gym-climate — Provide gym environments for reinforcement learning
- gym-collision-avoidance — Simulation environment for collision avoidance
- gym-conservation — Provide gym environments for reinforcement learning
- gym-contin — A OpenAI Gym Env for continuous actions
- gym-cooking-lipo — A variant of https://github.com/DavidRother/cooking_zoo used in LIPO
- gym-covid19outbreak — A OpenAI Gym Env for covid19outbreak
- gym-craftingworld — A gym package for the 2d crafting multitask world
- gym-crypto — Reinforcement Learning OpenAI Gym environment for crypto-currency trading.
- gym-csgo — Counter-Strike: Global Offensive environment for OpenAI Gym on Linux
- gym-d2d — Device-to-Device (D2D) communication OpenAI Gym environment
- gym-dart — A Gym environment wrapper for the DART physics engine
- gym-datums — Gym environments focused around time series.