Stanford-ILIAD / Diverse-Conventions
Exploring techniques to generate diverse conventions in multi-agent settings
☆10Updated 11 months ago
Related projects ⓘ
Alternatives and complementary repositories for Diverse-Conventions
- ☆22Updated 10 months ago
- ☆11Updated 10 months ago
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆25Updated 4 months ago
- Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning☆19Updated last year
- Overcooked human-AI experiment platform☆30Updated 10 months ago
- Google Research Football MARL Benchmark and Research Toolkit☆33Updated 5 months ago
- curriculum☆19Updated last year
- Implementation of RPPO(Risk-sensitive PPO) and RPBT(Population-based self-play with RPPO)☆10Updated last year
- Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination☆25Updated last year
- ☆20Updated last year
- The implementation of ICLR-2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".☆37Updated last week
- This repository is an implementation of "MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer"…☆21Updated last year
- ☆28Updated last year
- Codebase for [Order Matters: Agent-by-agent Policy Optimization](https://openreview.net/forum?id=Q-neeWNVv1)☆26Updated last year
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆42Updated 2 years ago
- rlplot is an easy to use and highly encapsulated RL plot library (including basic error bar lineplot and a wrapper to "rliable").☆26Updated 11 months ago
- PyTorch Implementation of COPA for coordinating teams that can dynamically change.☆20Updated 2 years ago
- ☆12Updated 4 years ago
- [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…☆29Updated 8 months ago
- Official Repository for "Agent Modelling under Partial Observability for Deep Reinforcement Learning"☆32Updated 2 years ago
- Official codebase for paper "Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning" (ICML22)☆21Updated 2 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆26Updated 2 years ago
- Code for MOBILE: Model-Bellman Inconsistency Penalized Offline Policy Optimization☆14Updated 6 months ago
- ELIGN: Expectation Alignment as a Multi-agent Intrinsic Reward☆18Updated last year
- An open source benchmark for Multi Agent Reinforcement Learning☆29Updated last year
- Overcooked-AI Experiment Psiturk Demo (for MTurk experiments)☆12Updated 3 years ago
- ☆28Updated 3 years ago
- ☆13Updated 3 years ago
- CORRO code☆34Updated 2 years ago