chenf-ai / Multi-Agent-Communication-Considering-Representation-LearningLinks
☆30Updated 2 years ago
Alternatives and similar repositories for Multi-Agent-Communication-Considering-Representation-Learning
Users that are interested in Multi-Agent-Communication-Considering-Representation-Learning are comparing it to the libraries listed below
Sorting:
- The implementation of ICLR 2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".☆45Updated 11 months ago
- The implementation of IJCAI'22 paper "Multi-Agent Concentrative Coordination with Decentralized Task Representation".☆16Updated 3 years ago
- [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.☆87Updated 2 years ago
- Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021☆65Updated 4 years ago
- This repository is an implementation of "MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer"…☆22Updated 2 years ago
- Codes accompanying the paper "RODE: Learning Roles to Decompose Multi-Agent Tasks (ICLR 2021, https://arxiv.org/abs/2010.01523). RODE is …☆79Updated 10 months ago
- The implementation of AAAI 2022 paper "Multi-Agent Incentive Communication via Decentralized Teammate Modeling".☆59Updated last year
- The code for paper, "Episodic Multi-agent Reinforcement Learning with Curiosity-driven Exploration", NeurIPS 2021.☆40Updated 2 years ago
- ☆49Updated 4 years ago
- PyTorch Implementation of COPA for coordinating teams that can dynamically change.☆21Updated 3 years ago
- ☆40Updated 3 years ago
- Google Research Football MARL Benchmark and Research Toolkit☆48Updated last year
- code for ROMANCE☆14Updated last year
- ☆42Updated 4 years ago
- ☆29Updated 4 years ago
- ☆15Updated 2 years ago
- Codes accompanying the paper "Influence-Based Multi-Agent Exploration" (ICLR 2020 spotlight)☆32Updated 5 years ago
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆38Updated 8 months ago
- ☆50Updated 3 years ago
- ☆12Updated 5 years ago
- Level-Based Foraging (LBF): A multi-agent reinforcement learning environment☆51Updated last year
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆51Updated 2 years ago
- ☆45Updated 4 years ago
- ☆114Updated 2 years ago
- ☆98Updated 4 years ago
- Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)☆18Updated 2 years ago
- [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…☆39Updated last year
- ☆32Updated 2 years ago
- Submission for MAVEN: Multi-Agent Variational Exploration☆58Updated 3 years ago
- ☆20Updated 4 years ago