Alternatives and similar repositories for gym-macro-overcooked

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

• rll-research / BPref
  Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.
  ☆122Updated 3 years ago
• jidiai / GRF_MARL
  Google Research Football MARL Benchmark and Research Toolkit
  ☆45Updated last year
• liyang619 / COLE-Platform
  Overcooked human-AI experiment platform
  ☆37Updated last year
• danielshin1 / oprl
  Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning
  ☆20Updated 2 years ago
• PKU-RL / CORRO
  CORRO code
  ☆35Updated 2 years ago
• baitingzbt / PEDA
  Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL, published in ICLR 2023
  ☆31Updated 5 months ago
• Stilwell-Git / Randomized-Return-Decomposition
  TensorFlow implementation for our paper "Learning Long-Term Reward Redistribution via Randomized Return Decomposition"
  ☆19Updated 3 years ago
• samjia2000 / HSP
  This is a repository for Hidden-utility Self-Play.
  ☆26Updated last year
• lich14 / CDS
  [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.
  ☆86Updated 2 years ago
• TonghanWang / RODE
  Codes accompanying the paper "RODE: Learning Roles to Decompose Multi-Agent Tasks (ICLR 2021, https://arxiv.org/abs/2010.01523). RODE is …
  ☆74Updated 5 months ago
• benellis3 / pymarl2
  Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)
  ☆18Updated last year
• mxu34 / prompt-dt
  Official code repository for Prompt-DT.
  ☆111Updated 2 years ago
• alirezakazemipour / DIAYN-PyTorch
  Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.
  ☆68Updated last year
• apexrl / GCRL-Collection
  This repo relates to the survey paper <Goal-Conditioned Reinforcement Learning: Problems and Solutions>. We collects widely used benchmar…
  ☆131Updated 2 years ago
• ZhengYinan-AIR / OMIGA
  [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…
  ☆36Updated last year
• ruizhaogit / maximum_entropy_population_based_training
  Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination
  ☆28Updated 2 years ago
• LAMDA-RL / ODIS
  The implementation of ICLR 2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".
  ☆42Updated 7 months ago
• Baichenjia / PBRL
  Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning
  ☆28Updated 3 years ago
• jhejna / inverse-preference-learning
  ☆40Updated 2 years ago
• LanqingLi1993 / FOCAL-ICLR
  Code for FOCAL Paper Published at ICLR 2021
  ☆52Updated last year
• ReinholdM / Offline-Pre-trained-Multi-Agent-Decision-Transformer
  ☆111Updated 2 years ago
• etaoxing / multigame-dt
  Implementation of Multi-Game Decision Transformers in PyTorch
  ☆47Updated 2 years ago
• chenf-ai / Multi-Agent-Communication-Considering-Representation-Learning
  ☆29Updated 2 years ago
• conglu1997 / v-d4rl
  Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations
  ☆101Updated last year
• yihaosun1124 / pytorch-mopo
  re-implementation of the offline model-based RL algorithm MOPO in pytorch
  ☆24Updated 3 years ago
• liuboyin / LAIES
  ☆15Updated last year
• yuqingd / ellm
  ☆78Updated last year
• bic4907 / Overcooked-AI
  Offline Multi-Agent Reinforcement Learning Implementations: Solving Overcooked Game with Data-Driven Method
  ☆39Updated 8 months ago
• srzer / LaMo-2023
  Official code for "Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning".
  ☆47Updated last year
• gwthomas / IQL-PyTorch
  A PyTorch implementation of Implicit Q-Learning
  ☆80Updated 3 years ago