Alternatives and similar repositories for RLC

Users that are interested in RLC are comparing it to the libraries listed below

• JoshVarty / AlphaZeroSimple
  The absolute most basic example of AlphaZero and Monte Carlo Tree Search I could come up with
  ☆230Updated 2 years ago
• Kautenja / gym-super-mario-bros
  An OpenAI Gym interface to Super Mario Bros. & Super Mario Bros. 2 (Lost Levels) on The NES
  ☆837Updated 2 years ago
• gsurma / atari
  AI research environment for the Atari 2600 games 🤖.
  ☆262Updated 3 years ago
• huangeddie / GymGo
  An environment of the board game Go using OpenAI's Gym API
  ☆177Updated 3 years ago
• Farama-Foundation / MicroRTS-Py
  A simple and highly efficient RTS-game-inspired environment for reinforcement learning (formerly Gym-MicroRTS)
  ☆281Updated 6 months ago
• Stable-Baselines-Team / stable-baselines3-contrib
  Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code
  ☆690Updated this week
• philtabor / Deep-Q-Learning-Paper-To-Code
  ☆436Updated 2 years ago
• jiseongHAN / Super-Mario-RL
  🍄Reinforcement Learning: Super Mario Bros with dueling dqn🍄
  ☆144Updated 8 months ago
• zjeffer / chess-deep-rl
  Research project: create a chess engine using Deep Reinforcement Learning
  ☆168Updated last year
• Stable-Baselines-Team / stable-baselines
  Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms
  ☆306Updated 2 years ago
• Stable-Baselines-Team / rl-colab-notebooks
  Colab notebooks part of the documentation of Stable Baselines reinforcement learning library
  ☆246Updated last year
• michaelnny / alpha_zero
  A PyTorch implementation of DeepMind's AlphaZero agent to play Go and Gomoku board games
  ☆172Updated last year
• Farama-Foundation / gym-examples
  Example code for the Gym documentation
  ☆73Updated 2 years ago
• lcswillems / rl-starter-files
  RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code
  ☆715Updated last year
• google-deepmind / meltingpot
  A suite of test scenarios for multi-agent reinforcement learning.
  ☆784Updated last week
• pythonlessons / Reinforcement_Learning
  Reinforcement learning tutorials
  ☆399Updated 2 years ago
• kevaday / alphazero-general
  A fast, generalized, and modified implementation of Deepmind's distinguished AlphaZero in PyTorch.
  ☆87Updated last year
• semitable / lb-foraging
  Level-based Foraging (LBF): A multi-agent environment for RL
  ☆202Updated last year
• deepanshut041 / Reinforcement-Learning
  Implementations of Deep Reinforcement Learning Algorithms and Bench-marking with PyTorch
  ☆145Updated 5 years ago
• philtabor / Actor-Critic-Methods-Paper-To-Code
  ☆187Updated 3 years ago
• yfeng997 / MadMario
  Interactive tutorial to build a learning Mario, for first-time RL learners
  ☆244Updated 3 years ago
• foersterrobert / AlphaZeroFromScratch
  ☆237Updated 2 years ago
• MattChanTK / gym-maze
  A basic 2D maze environment where an agent start from the top left corner and try to find its way to the bottom left corner.
  ☆375Updated 2 years ago
• koulanurag / muzero-pytorch
  Pytorch Implementation of MuZero
  ☆352Updated 2 years ago
• genyrosk / gym-chess
  A simple chess environment for openai/gym
  ☆164Updated last year
• Talendar / flappy-bird-gym
  An OpenAI Gym environment for the Flappy Bird game
  ☆131Updated 3 years ago
• shivaverma / OpenAIGym
  Solving OpenAI Gym problems.
  ☆187Updated 5 years ago
• google-deepmind / alphastar
  ☆540Updated 3 years ago
• Bam4d / Griddly
  A grid-world game engine for game AI research
  ☆253Updated last year
• koulanurag / ma-gym
  A collection of multi agent environments based on OpenAI gym.
  ☆629Updated last year