Shaokang-Agent / D-FLinks
Implementation of the paper "Egoism, Utilitarianism and Egalitarianism in Multi-Agent Reinforcement Learning"
☆21Updated 11 months ago
Alternatives and similar repositories for D-F
Users that are interested in D-F are comparing it to the libraries listed below
Sorting:
- Implementation of the paper "WToE: Learning When to Explore in Multi-Agent Reinforcement Learning"☆21Updated 11 months ago
- Implementation of the paper "Decentralized Counterfactual Value with Threat Detection for Multi-Agent Reinforcement Learning in Mixed Coo…☆18Updated 7 months ago
- Implementation of the paper "Multi-Agent Exploration via Self-Learning and Social Learning"☆20Updated 7 months ago
- The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.☆12Updated last year
- 📚 List of Top-tier Conference Papers on Reinforcement Learning (RL),including: NeurIPS, AAAI, IJCAI, ICML, AAMAS, ICLR, ICRA, etc. | (AI…☆11Updated last year
- ☆254Updated last year
- ☆421Updated last year
- Multi-Agent Reinforcement Learning (MARL) papers☆267Updated 2 years ago
- [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.☆85Updated 2 years ago
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆614Updated 10 months ago
- Official implementation of HARL algorithms based on PyTorch.☆744Updated 2 months ago
- ☆16Updated 2 years ago
- An elegant PyTorch offline reinforcement learning library for researchers.☆350Updated 2 weeks ago
- Benchmarked implementations of Offline Multi-Agent RL Algorithms based on PyMARL codebase.☆27Updated 9 months ago
- Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)☆18Updated last year
- We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enh…☆160Updated last year
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆491Updated 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 …☆77Updated 7 months ago
- The implementation of AAAI 2022 paper "Multi-Agent Incentive Communication via Decentralized Teammate Modeling".☆56Updated last year
- This is a repository for Hidden-utility Self-Play.☆26Updated last year
- ☆97Updated 4 years ago
- Google Research Football MARL Benchmark and Research Toolkit☆46Updated last year