Alternatives and similar repositories for gym-sokoban:

Users that are interested in gym-sokoban are comparing it to the libraries listed below

• lcswillems / rl-starter-files
  RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code
  ☆675Updated 10 months ago
• kenjyoung / MinAtar
  ☆298Updated 3 months ago
• openai / phasic-policy-gradient
  Code for the paper "Phasic Policy Gradient"
  ☆259Updated last year
• koulanurag / ma-gym
  A collection of multi agent environments based on OpenAI gym.
  ☆595Updated 8 months ago
• Farama-Foundation / MicroRTS-Py
  A simple and highly efficient RTS-game-inspired environment for reinforcement learning (formerly Gym-MicroRTS)
  ☆242Updated 8 months ago
• david-abel / simple_rl
  A simple framework for experimenting with Reinforcement Learning in Python.
  ☆305Updated last year
• lcswillems / torch-ac
  Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
  ☆196Updated 2 years ago
• danijar / dreamer
  Dream to Control: Learning Behaviors by Latent Imagination
  ☆526Updated 3 years ago
• google-deepmind / dm_env
  A Python interface for reinforcement learning environments
  ☆363Updated 2 years ago
• ArnaudFickinger / gym-multigrid
  Lightweight multi-agent gridworld Gym environment
  ☆203Updated last year
• Farama-Foundation / Miniworld
  Simple and easily configurable 3D FPS-game-like environments for reinforcement learning
  ☆725Updated 2 months ago
• seungjaeryanlee / awesome-rl-competitions
  List of competitions related to Reinforcement Learning
  ☆352Updated last year
• andrew-j-levy / Hierarchical-Actor-Critc-HAC-
  This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.
  ☆260Updated 4 years ago
• zuoxingdong / mazelab
  A customizable framework to create maze and gridworld environments
  ☆263Updated 5 years ago
• google-deepmind / dqn_zoo
  DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (…
  ☆468Updated 11 months ago
• jannerm / mbpo
  Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"
  ☆487Updated 2 years ago
• Bam4d / Griddly
  A grid-world game engine for game AI research
  ☆239Updated 11 months ago
• eugenevinitsky / sequential_social_dilemma_games
  Repo for reproduction of sequential social dilemmas
  ☆397Updated 2 weeks ago
• jcwleo / random-network-distillation-pytorch
  Random Network Distillation pytorch
  ☆247Updated 6 years ago
• huangeddie / GymGo
  An environment of the board game Go using OpenAI's Gym API
  ☆174Updated 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.
  ☆361Updated last year
• vitchyr / multiworld
  Multitask Environments for RL
  ☆275Updated 3 years ago
• openai / safety-gym
  Tools for accelerating safe exploration research.
  ☆521Updated last year
• iffiX / machin
  Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
  ☆407Updated 3 years ago
• rll-research / url_benchmark
  ☆339Updated 2 years ago
• katerakelly / oyster
  Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)
  ☆484Updated 2 years ago
• AboudyKreidieh / h-baselines
  A repository of high-performing hierarchical reinforcement learning models and algorithms.
  ☆297Updated last year
• denisyarats / dmc2gym
  OpenAI Gym wrapper for the DeepMind Control Suite
  ☆211Updated 10 months ago
• koulanurag / muzero-pytorch
  Pytorch Implementation of MuZero
  ☆349Updated last year
• google-research / batch_rl
  Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games
  ☆549Updated last year