Alternatives and similar repositories for ZSC-Eval

Users that are interested in ZSC-Eval are comparing it to the libraries listed below

• LxzGordon / PECAN
  ☆12Updated last year
• samjia2000 / HSP
  This is a repository for Hidden-utility Self-Play.
  ☆25Updated 2 years ago
• ruizhaogit / maximum_entropy_population_based_training
  Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination
  ☆26Updated 2 years ago
• liyang619 / COLE-Platform
  Overcooked human-AI experiment platform
  ☆38Updated last year
• jidiai / GRF_MARL
  Google Research Football MARL Benchmark and Research Toolkit
  ☆45Updated last year
• uoe-agents / LIAM
  Official Repository for "Agent Modelling under Partial Observability for Deep Reinforcement Learning"
  ☆36Updated 2 years ago
• benellis3 / pymarl2
  Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)
  ☆18Updated 2 years ago
• CILAB-MA / Machine_ToM
  The Implementation of "Machine Theory of Mind", ICML 2018
  ☆24Updated 3 years ago
• HumanCompatibleAI / human_aware_rl
  Code for "On the Utility of Learning about Humans for Human-AI Coordination"
  ☆109Updated 2 years ago
• bic4907 / Overcooked-AI
  Offline Multi-Agent Reinforcement Learning Implementations: Solving Overcooked Game with Data-Driven Method
  ☆41Updated 11 months ago
• jhejna / inverse-preference-learning
  ☆43Updated 2 years ago
• Stanford-ILIAD / PantheonRL
  PantheonRL is a package for training and testing multi-agent reinforcement learning environments. PantheonRL supports cross-play, fine-tu…
  ☆152Updated last year
• mxu34 / prompt-dt
  Official code repository for Prompt-DT.
  ☆114Updated 3 years ago
• liyheng / FOP
  ☆14Updated 4 years ago
• rll-research / BPref
  Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.
  ☆130Updated 3 years ago
• jon--lee / decision-pretrained-transformer
  Implemention of the Decision-Pretrained Transformer (DPT) from the paper Supervised Pretraining Can Learn In-Context Reinforcement Learni…
  ☆71Updated last year
• thu-rllab / CFCQL
  Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.
  ☆37Updated 6 months ago
• LAMDA-RL / ODIS
  The implementation of ICLR 2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".
  ☆43Updated 10 months ago
• lich14 / CDS
  [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.
  ☆85Updated 2 years ago
• gwthomas / IQL-PyTorch
  A PyTorch implementation of Implicit Q-Learning
  ☆85Updated 3 years ago
• ling-pan / OMAR
  ☆50Updated 3 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 …
  ☆77Updated 8 months ago
• thomyphan / scalable-marl
  Scalable Multi-Agent Reinforcement Learning
  ☆12Updated 3 years ago
• etaoxing / multigame-dt
  Implementation of Multi-Game Decision Transformers in PyTorch
  ☆47Updated 2 years ago
• PKU-RL / CORRO
  [ICML 2022] Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning
  ☆36Updated 3 years ago
• Stanford-ILIAD / Diverse-Conventions
  Exploring techniques to generate diverse conventions in multi-agent settings
  ☆15Updated last year
• apexrl / AORPO
  Official pytorch implementation of the paper <Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts>.
  ☆20Updated 3 years ago
• ReinholdM / Offline-Pre-trained-Multi-Agent-Decision-Transformer
  ☆112Updated 2 years ago
• danielshin1 / oprl
  Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning
  ☆20Updated 2 years ago
• zzq-bot / offline-marl-framework-offpymarl
  Benchmarked implementations of Offline Multi-Agent RL Algorithms based on PyMARL codebase.
  ☆29Updated 10 months ago