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.
☆41Updated 3 weeks ago
Alternatives and similar repositories for ZSC-Eval
Users that are interested in ZSC-Eval are comparing it to the libraries listed below
Sorting:
- This is a repository for Hidden-utility Self-Play.☆26Updated last year
- Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination☆28Updated 2 years ago
- Google Research Football MARL Benchmark and Research Toolkit☆44Updated last year
- Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)☆18Updated last year
- Official Repository for "Agent Modelling under Partial Observability for Deep Reinforcement Learning"☆35Updated 2 years ago
- The Implementation of "Machine Theory of Mind", ICML 2018☆25Updated 3 years ago
- Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning☆20Updated 2 years ago
- Overcooked human-AI experiment platform☆38Updated last year
- Offline Multi-Agent Reinforcement Learning Implementations: Solving Overcooked Game with Data-Driven Method☆40Updated 9 months ago
- The implementation of ICLR 2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".☆42Updated 7 months ago
- ☆12Updated last year
- Codes accompanying the paper "RODE: Learning Roles to Decompose Multi-Agent Tasks (ICLR 2021, https://arxiv.org/abs/2010.01523). RODE is …☆76Updated 6 months ago
- ☆12Updated last year
- Official code repository for Prompt-DT.☆112Updated 2 years ago
- ☆30Updated last year
- [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.☆86Updated 2 years ago
- ☆40Updated 2 years ago
- ELIGN: Expectation Alignment as a Multi-agent Intrinsic Reward☆18Updated 2 years ago
- Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021☆65Updated 4 years ago
- Codes accompanying the paper "Influence-Based Multi-Agent Exploration" (ICLR 2020 spotlight)☆33Updated 5 years ago
- Scalable Multi-Agent Reinforcement Learning☆12Updated 3 years ago
- ☆12Updated 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
- Exploring techniques to generate diverse conventions in multi-agent settings☆15Updated last year
- Learning to Incentivize Other Learning Agents☆33Updated 3 years ago
- A PyTorch implementation of Implicit Q-Learning☆82Updated 3 years ago
- ☆17Updated last year
- Codebase for [Order Matters: Agent-by-agent Policy Optimization](https://openreview.net/forum?id=Q-neeWNVv1)☆29Updated 6 months ago
- Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning☆27Updated 3 years ago
- ☆14Updated 3 years ago