Alternatives and similar repositories for gym-macro-overcooked

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

• jidiai / GRF_MARL
  Google Research Football MARL Benchmark and Research Toolkit
  ☆46Updated last year
• rll-research / BPref
  Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.
  ☆129Updated 3 years ago
• ReinholdM / Offline-Pre-trained-Multi-Agent-Decision-Transformer
  ☆112Updated 2 years ago
• mxu34 / prompt-dt
  Official code repository for Prompt-DT.
  ☆114Updated 3 years ago
• samjia2000 / HSP
  This is a repository for Hidden-utility Self-Play.
  ☆26Updated 2 years ago
• yuqingd / ellm
  ☆81Updated last year
• LxzGordon / PECAN
  ☆12Updated last year
• gwthomas / IQL-PyTorch
  A PyTorch implementation of Implicit Q-Learning
  ☆83Updated 3 years ago
• yihaosun1124 / pytorch-mopo
  re-implementation of the offline model-based RL algorithm MOPO in pytorch
  ☆25Updated 3 years ago
• PKU-RL / CORRO
  [ICML 2022] Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning
  ☆35Updated 2 years ago
• wenzhe-li / FightLadder
  Official repository of the paper "FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning"
  ☆32Updated last year
• jhejna / inverse-preference-learning
  ☆43Updated 2 years ago
• liyang619 / COLE-Platform
  Overcooked human-AI experiment platform
  ☆38Updated last year
• liyheng / FOP
  ☆14Updated 4 years ago
• sfujim / TD7
  Author's PyTorch implementation of TD7 for online and offline RL
  ☆146Updated last year
• snu-mllab / EDAC
  Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)
  ☆75Updated 2 years ago
• LAMDA-RL / ODIS
  The implementation of ICLR 2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".
  ☆43Updated 9 months ago
• liuboyin / LAIES
  ☆16Updated 2 years ago
• marc-rigter / rambo
  Official code for "RAMBO: Robust Adversarial Model-Based Offline RL", NeurIPS 2022
  ☆29Updated 2 years ago
• benellis3 / pymarl2
  Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)
  ☆18Updated last year
• ZhengYinan-AIR / OMIGA
  [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…
  ☆37Updated last year
• danielshin1 / oprl
  Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning
  ☆20Updated 2 years ago
• sjtu-marl / ZSC-Eval
  This repository is the official implementation of ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot Coordination. P…
  ☆42Updated 2 months ago
• apexrl / GCRL-Collection
  This repo relates to the survey paper <Goal-Conditioned Reinforcement Learning: Problems and Solutions>. We collects widely used benchmar…
  ☆139Updated 2 years ago
• csmile-1006 / PreferenceTransformer
  Preference Transformer: Modeling Human Preferences using Transformers for RL (ICLR2023 Accepted)
  ☆163Updated last year
• etaoxing / multigame-dt
  Implementation of Multi-Game Decision Transformers in PyTorch
  ☆47Updated 2 years ago
• Xingyu-Lin / mbpo_pytorch
  A pytorch reprelication of the model-based reinforcement learning algorithm MBPO
  ☆175Updated 3 years ago
• lich14 / CDS
  [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.
  ☆85Updated 2 years ago
• FuxiRL / DunkCityDynasty
  ☆71Updated last year
• jon--lee / decision-pretrained-transformer
  Implemention of the Decision-Pretrained Transformer (DPT) from the paper Supervised Pretraining Can Learn In-Context Reinforcement Learni…
  ☆69Updated last year