Alternatives and similar repositories for gym-simplegrid

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

• semitable / lb-foraging
  Level-based Foraging (LBF): A multi-agent environment for RL
  ☆182Updated 9 months ago
• uoe-agents / smaclite
  The Starcraft Multi-Agent challenge lite
  ☆42Updated 9 months ago
• Farama-Foundation / momaland
  Benchmarks for Multi-Objective Multi-Agent Decision Making
  ☆92Updated last week
• ffelten / CrazyRL
  JAX and PZ RL envs + algorithms for swarms of CrazyFlies
  ☆78Updated 9 months ago
• ArnaudFickinger / gym-multigrid
  Lightweight multi-agent gridworld Gym environment
  ☆208Updated last year
• automl / CARL
  Benchmarking RL generalization in an interpretable way.
  ☆157Updated last week
• proroklab / popgym
  Partially Observable Process Gym
  ☆193Updated 2 weeks ago
• flowersteam / TeachMyAgent
  TeachMyAgent is a testbed platform for Automatic Curriculum Learning methods in Deep RL.
  ☆74Updated last year
• instadeepai / awesome-marl
  A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers
  ☆52Updated 2 years ago
• kandouss / marlgrid
  Gridworld for MARL experiments
  ☆140Updated 4 years ago
• Howuhh / prioritized_experience_replay
  Prioritized Experience Replay implementation with proportional prioritization
  ☆81Updated last year
• instadeepai / marl-eval
  A tool for aggregating and plotting MARL experiment data.
  ☆77Updated 5 months ago
• DLR-RM / rl-trained-agents
  A collection of pre-trained RL agents using Stable Baselines3
  ☆128Updated 7 months ago
• Stanford-ILIAD / PantheonRL
  PantheonRL is a package for training and testing multi-agent reinforcement learning environments. PantheonRL supports cross-play, fine-tu…
  ☆151Updated last year
• HumanCompatibleAI / learning-from-human-preferences
  Reproduction of OpenAI and DeepMind's "Deep Reinforcement Learning from Human Preferences"
  ☆30Updated 3 years ago
• instadeepai / og-marl
  Datasets with baselines for offline multi-agent reinforcement learning.
  ☆172Updated last month
• toshikwa / rljax
  A collection of RL algorithms written in JAX.
  ☆98Updated 2 years ago
• MarcoMeter / neroRL
  Deep Reinforcement Learning Framework done with PyTorch
  ☆36Updated 3 months ago
• moratodpg / imp_marl
  IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL
  ☆42Updated 9 months ago
• lcswillems / torch-ac
  Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
  ☆201Updated 2 years ago
• openrlbenchmark / openrlbenchmark
  ☆232Updated 7 months ago
• MarcoMeter / episodic-transformer-memory-ppo
  Clean baseline implementation of PPO using an episodic TransformerXL memory
  ☆180Updated last year
• MarcoMeter / endless-memory-gym
  Challenging Memory-based Deep Reinforcement Learning Agents
  ☆100Updated 7 months ago
• evgenii-nikishin / rl_with_resets
  JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"
  ☆100Updated 3 years ago
• alirezakazemipour / DDPG-HER
  Implementation of the Deep Deterministic Policy Gradient and Hindsight Experience Replay.
  ☆98Updated last month
• araffin / rl-handson-rlvs21
  Stable-Baselines3 (SB3) reinforcement learning tutorial for the Reinforcement Learning Virtual School 2021.
  ☆54Updated 2 years ago
• lweitkamp / option-critic-pytorch
  PyTorch implementation of the Option-Critic framework, Harb et al. 2016
  ☆128Updated 10 months ago
• jakegrigsby / deep_control
  Deep Reinforcement Learning for Continuous Control in PyTorch
  ☆100Updated 3 years ago
• Farama-Foundation / Shimmy
  An API conversion tool for popular external reinforcement learning environments
  ☆173Updated 5 months ago
• facebookresearch / how-to-autorl
  Plug-and-play hydra sweepers for the EA-based multifidelity method DEHB and several population-based training variations, all proven to e…
  ☆80Updated last year