lilh76 / MACProLinks
The implementation of TNNLS paper "Multi-agent Continual Coordination via Progressive Task Contextualization".
☆14Updated 6 months ago
Alternatives and similar repositories for MACPro
Users that are interested in MACPro are comparing it to the libraries listed below
Sorting:
- ☆48Updated 2 years ago
- ICLR'2024: Learning Multi-Agent Communication from Graph Modeling Perspective☆33Updated last year
- This repository is an implementation of "MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer"…☆21Updated last year
- Official Repository for "Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing" (ICML2021)☆21Updated 3 years ago
- The implementation of ICLR 2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".☆43Updated 7 months ago
- Codebase for [Order Matters: Agent-by-agent Policy Optimization](https://openreview.net/forum?id=Q-neeWNVv1)☆29Updated 6 months ago
- [AAAI 2023 Oral] Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition☆34Updated last year
- Official repository of the paper TransfQMix: Transformers for Leveraging the Graph Structure of Multi-Agent Reinforcement Learning Proble…☆51Updated last year
- Code for "ALMA: Hierarchical Learning for Composite Multi-Agent Tasks" NeurIPS 2022☆29Updated 2 years ago
- LLM-Empowered State Representation for Reinforcement Learning (ICML2024 Accepted paper)☆30Updated last year
- Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS 2022)☆56Updated last year
- The official implementation of "Transformer in Transformer as Backbone for Deep Reinforcement Learning"☆55Updated last year
- ☆29Updated 2 years ago
- Robust Multi-Agent Reinforcement Learning with State Uncertainty☆13Updated 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").☆33Updated last year
- Code for NeurIPS paper "Self-Organized Group for Cooperative Multi-agentReinforcement Learning".☆21Updated 2 years ago
- Code for the NeurIPS 2023 Paper: Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Sta…☆24Updated last year
- Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS…☆74Updated 2 years ago
- (NeurIPS 2021) Neural Auto-Curricula in Two-Player Zero-Sum Games.☆28Updated 3 years ago
- [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…☆36Updated last year
- ☆28Updated 3 years ago
- Model-based Offline Policy Optimization re-implement all by pytorch☆32Updated last year
- ☆39Updated 2 years ago
- ☆22Updated last year
- CORRO code☆35Updated 2 years ago
- Related papers for offline reforcement learning (we mainly focus on representation and sequence modeling and conventional offline RL)☆18Updated 3 years ago
- PyTorch Implementation of COPA for coordinating teams that can dynamically change.☆21Updated 3 years ago
- Code for ICLR 2024 paper "Towards Robust Offline Reinforcement Learning under Diverse Data Corruption"☆17Updated 7 months ago
- The code for AAMAS2022 《GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning》☆41Updated 3 years ago
- ☆39Updated 3 years ago