TonghanWang / RODELinks
Codes accompanying the paper "RODE: Learning Roles to Decompose Multi-Agent Tasks (ICLR 2021, https://arxiv.org/abs/2010.01523). RODE is a scalable role-based multi-agent learning method which effectively discovers roles based on joint action space decomposition according to action effects, establishing a new state of the art on the StarCraft mu…
☆79Updated 10 months ago
Alternatives and similar repositories for RODE
Users that are interested in RODE are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.☆87Updated 2 years ago
- ☆98Updated 4 years ago
- Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021☆65Updated 4 years ago
- The implementation of AAAI 2022 paper "Multi-Agent Incentive Communication via Decentralized Teammate Modeling".☆59Updated last year
- ☆49Updated 4 years ago
- There will be updates later☆85Updated 6 years ago
- The code for paper, "Episodic Multi-agent Reinforcement Learning with Curiosity-driven Exploration", NeurIPS 2021.☆40Updated 2 years ago
- ☆45Updated 4 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆106Updated 3 years ago
- ☆42Updated 4 years ago
- Code for Weighted QMIX☆140Updated 4 years ago
- Submission for MAVEN: Multi-Agent Variational Exploration☆58Updated 3 years ago
- Level-Based Foraging (LBF): A multi-agent reinforcement learning environment☆51Updated last year
- Codes accompanying the paper "Influence-Based Multi-Agent Exploration" (ICLR 2020 spotlight)☆32Updated 5 years ago
- ☆40Updated 3 years ago
- The implementation of ICLR 2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".☆45Updated 11 months ago
- Learning Individual Intrinsic Reward in MARL☆63Updated 2 years ago
- Google Research Football MARL Benchmark and Research Toolkit☆48Updated last year
- ☆15Updated 2 years ago
- ☆30Updated 2 years ago
- ☆43Updated 3 years ago
- [NeurIPS 2020] PyTorch implementation of "Learning Implicit Credit Assignment for Cooperative Muti-Agent Reinforcement Learning"☆60Updated last year
- This repository is an implementation of "MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer"…☆22Updated 2 years ago
- ☆29Updated 4 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆82Updated 2 years ago
- ☆32Updated 2 years ago
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆163Updated 2 years ago
- ☆104Updated 4 years ago
- PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."☆60Updated 5 years ago
- Deep Implicit Coordination Graphs☆43Updated last year