Theohhhu / UPDeT
Official Implementation of 'UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers' ICLR 2021(spotlight)
☆131Updated 4 years ago
Alternatives and similar repositories for UPDeT:
Users that are interested in UPDeT are comparing it to the libraries listed below
- [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.☆84Updated last year
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago
- Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment☆117Updated 2 years ago
- Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS…☆73Updated 2 years ago
- ☆197Updated last year
- ☆96Updated 3 years ago
- ☆92Updated 4 years ago
- ☆108Updated last year
- There will be updates later☆84Updated 5 years ago
- A code implementation for our arXiv paper "Multi-agent Adhoc Team Play using Decompositional Q function"☆129Updated last year
- Codes accompanying the paper "RODE: Learning Roles to Decompose Multi-Agent Tasks (ICLR 2021, https://arxiv.org/abs/2010.01523). RODE is …☆73Updated 3 months ago
- This is the official implementation of Multi-Agent PPO.☆104Updated 2 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆99Updated 2 years ago
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆156Updated 2 years ago
- Code for "Multi-task Reinforcement Learning with Soft Modularization"☆120Updated 4 years ago
- Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021☆65Updated 3 years ago
- Multi-agent PPO with noise (97% win rates on Hard scenarios of SMAC)☆60Updated last year
- ☆120Updated 2 years ago
- MADDPG in Ray/RLlib☆53Updated 5 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆163Updated 11 months ago
- Code for paper 'Learning transferable cooperative behaviors in multi-agent teams' (ICML 2019)☆112Updated 2 years ago
- ☆42Updated 3 years ago
- Code for Weighted QMIX☆133Updated 4 years ago
- Learning Individual Intrinsic Reward in MARL☆62Updated 2 years ago
- The implementation of AAAI'22 paper "Multi-Agent Incentive Communication via Decentralized Teammate Modeling".☆52Updated last year
- PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."☆58Updated 4 years ago
- ☆38Updated 2 years ago
- ☆47Updated 4 years ago
- A collection of offline reinforcement learning algorithms.☆174Updated 3 months ago
- pytorch实现的一些MARL算法☆66Updated 3 years ago