Alternatives and similar repositories for gym-sokoban

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

• kenjyoung / MinAtar
  ☆323Updated last year
• lcswillems / rl-starter-files
  RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code
  ☆704Updated last year
• 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
• openai / phasic-policy-gradient
  Code for the paper "Phasic Policy Gradient"
  ☆267Updated 2 years ago
• david-abel / simple_rl
  A simple framework for experimenting with Reinforcement Learning in Python.
  ☆325Updated last year
• Farama-Foundation / MicroRTS-Py
  A simple and highly efficient RTS-game-inspired environment for reinforcement learning (formerly Gym-MicroRTS)
  ☆277Updated 4 months ago
• huangeddie / GymGo
  An environment of the board game Go using OpenAI's Gym API
  ☆176Updated 3 years ago
• Farama-Foundation / Miniworld
  Simple and easily configurable 3D FPS-game-like environments for reinforcement learning
  ☆749Updated this week
• zuoxingdong / mazelab
  A customizable framework to create maze and gridworld environments
  ☆269Updated 6 years ago
• eugenevinitsky / sequential_social_dilemma_games
  Repo for reproduction of sequential social dilemmas
  ☆408Updated 9 months ago
• Bam4d / Griddly
  A grid-world game engine for game AI research
  ☆252Updated last year
• danijar / crafter
  Benchmarking the Spectrum of Agent Capabilities
  ☆496Updated last year
• lcswillems / torch-ac
  Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
  ☆205Updated 3 years ago
• danijar / dreamer
  Dream to Control: Learning Behaviors by Latent Imagination
  ☆572Updated 4 years ago
• google-deepmind / dm_env
  A Python interface for reinforcement learning environments
  ☆387Updated 2 years ago
• openai / train-procgen
  Code for the paper "Leveraging Procedural Generation to Benchmark Reinforcement Learning"
  ☆178Updated 2 years ago
• Kaixhin / PlaNet
  Deep Planning Network: Control from pixels by latent planning with learned dynamics
  ☆373Updated 4 years ago
• rosewang2008 / gym-cooking
  🏆 gym-cooking: Code for "Too many cooks: Bayesian inference for coordinating multi-agent collaboration", Winner of the CogSci 2020 Compu…
  ☆216Updated 4 years ago
• uber-research / go-explore
  Code for Go-Explore: a New Approach for Hard-Exploration Problems
  ☆579Updated 3 years ago
• openrlbenchmark / openrlbenchmark
  ☆244Updated last year
• vitchyr / multiworld
  Multitask Environments for RL
  ☆280Updated 4 years ago
• jcwleo / random-network-distillation-pytorch
  Random Network Distillation pytorch
  ☆257Updated 6 years ago
• koulanurag / ma-gym
  A collection of multi agent environments based on OpenAI gym.
  ☆625Updated last year
• shakenes / vizdoomgym
  OpenAI Gym wrapper for ViZDoom enviroments
  ☆70Updated 4 years ago
• openai / safety-gym
  Tools for accelerating safe exploration research.
  ☆573Updated 2 years ago
• rll-research / url_benchmark
  ☆359Updated 3 years ago
• mila-iqia / atari-representation-learning
  Code for "Unsupervised State Representation Learning in Atari"
  ☆255Updated 2 years ago
• hardmaru / WorldModelsExperiments
  World Models Experiments
  ☆672Updated 3 years ago
• katerakelly / oyster
  Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)
  ☆505Updated 3 years ago
• ray-project / rl-experiments
  Keeping track of RL experiments
  ☆165Updated 3 years ago