sjtu-marl / ZSC-EvalLinks
This repository is the official implementation of ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot Coordination. Pre-trained Agent Zoo: https://huggingface.co/Leoxxxxh/ZSC-Eval-policy_pool.
☆42Updated 2 months ago
Alternatives and similar repositories for ZSC-Eval
Users that are interested in ZSC-Eval are comparing it to the libraries listed below
Sorting:
- ☆12Updated last year
- Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.☆129Updated 3 years ago
- Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination☆28Updated 2 years ago
- Overcooked human-AI experiment platform☆38Updated last year
- This is a repository for Hidden-utility Self-Play.☆26Updated 2 years ago
- Google Research Football MARL Benchmark and Research Toolkit☆46Updated last year
- Code for "On the Utility of Learning about Humans for Human-AI Coordination"☆109Updated 2 years ago
- PantheonRL is a package for training and testing multi-agent reinforcement learning environments. PantheonRL supports cross-play, fine-tu…☆152Updated last year
- Official Repository for "Agent Modelling under Partial Observability for Deep Reinforcement Learning"☆36Updated 2 years ago
- ☆14Updated 4 years ago
- The Implementation of "Machine Theory of Mind", ICML 2018☆25Updated 3 years ago
- Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)☆18Updated last year
- ☆43Updated 2 years ago
- Learning to Incentivize Other Learning Agents☆34Updated 3 years ago
- The implementation of ICLR 2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".☆43Updated 9 months ago
- ☆112Updated 2 years ago
- Scalable Multi-Agent Reinforcement Learning☆12Updated 3 years ago
- Official code repository for Prompt-DT.☆114Updated 3 years ago
- [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.☆85Updated 2 years ago
- PyTorch implementation for all models and environments in the paper "Learning to Ground Multi-Agent Communication with Autoencoders"☆46Updated 3 years ago
- Implemention of the Decision-Pretrained Transformer (DPT) from the paper Supervised Pretraining Can Learn In-Context Reinforcement Learni…☆69Updated last year
- Official repository of the paper "FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning"☆32Updated last year
- Codes accompanying the paper "RODE: Learning Roles to Decompose Multi-Agent Tasks (ICLR 2021, https://arxiv.org/abs/2010.01523). RODE is …☆77Updated 7 months ago
- ELIGN: Expectation Alignment as a Multi-agent Intrinsic Reward☆19Updated 2 years ago
- [ICML 2022] Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning☆35Updated 2 years ago
- Official pytorch implementation of the paper <Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts>.☆20Updated 3 years ago
- Offline Multi-Agent Reinforcement Learning Implementations: Solving Overcooked Game with Data-Driven Method☆40Updated 10 months ago
- Codes accompanying the paper "Influence-Based Multi-Agent Exploration" (ICLR 2020 spotlight)☆32Updated 5 years ago
- A PyTorch implementation of Implicit Q-Learning☆83Updated 3 years ago
- Benchmarked implementations of Offline Multi-Agent RL Algorithms based on PyMARL codebase.☆29Updated 10 months ago