ZifanWu / MAGLinks
Code accompanying paper "Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning".
☆15Updated last year
Alternatives and similar repositories for MAG
Users that are interested in MAG are comparing it to the libraries listed below
Sorting:
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆36Updated 3 months ago
- Codebase for [Order Matters: Agent-by-agent Policy Optimization](https://openreview.net/forum?id=Q-neeWNVv1)☆29Updated 5 months ago
- Code for Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games☆20Updated 3 years ago
- ☆28Updated 3 years ago
- Official code of Nash-DQN for paper: Nash-DQN algorithm for two-player zero-sum Markov games, details see our paper: A Deep Reinforcement…☆20Updated 2 years ago
- This repository is an implementation of "MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer"…☆21Updated last year
- Related papers for offline reforcement learning (we mainly focus on representation and sequence modeling and conventional offline RL)☆18Updated 3 years ago
- The official implementation of "Transformer in Transformer as Backbone for Deep Reinforcement Learning"☆55Updated last year
- ELIGN: Expectation Alignment as a Multi-agent Intrinsic Reward☆18Updated 2 years ago
- ☆14Updated 2 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- ☆29Updated 2 years ago
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆62Updated last year
- The implementation of ICLR 2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".☆42Updated 7 months ago
- Open-source codebase for MAZero, from "Efficient Multi-agent Reinforcement Learning by Planning" at ICLR 2024.☆29Updated last year
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆77Updated 2 years ago
- Code for "ALMA: Hierarchical Learning for Composite Multi-Agent Tasks" NeurIPS 2022☆28Updated 2 years ago
- Official pytorch implementation of the paper <Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts>.☆19Updated 3 years ago
- Code for NeurIPS paper "Self-Organized Group for Cooperative Multi-agentReinforcement Learning".☆21Updated 2 years ago
- code for ROMANCE☆14Updated 7 months ago
- ☆15Updated last year
- Code for ICML2023 accepted paper: Complementary Attention for Multi-Agent Reinforcement Learning.☆18Updated 2 years ago
- (NeurIPS 2021) Neural Auto-Curricula in Two-Player Zero-Sum Games.☆28Updated 3 years ago
- ☆46Updated 2 years ago
- ☆39Updated 2 years ago
- [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.☆86Updated 2 years ago
- Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination☆28Updated 2 years ago
- A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.☆26Updated 2 months ago
- [ICML' 24] The PyTorch implementation of our paper: "Individual Contributions as Intrinsic Exploration Scaffolds for Multi-agent Reinforc…☆20Updated last year
- Official codebase for paper "Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning" (ICML22)☆22Updated 2 years ago