uoe-agents / seac
The official code base of Shared Experience Actor-Critic (NeurIPS2020)
☆37Updated last year
Alternatives and similar repositories for seac:
Users that are interested in seac are comparing it to the libraries listed below
- ☆48Updated 3 years ago
- Level-Based Foraging (LBF): A multi-agent reinforcement learning environment☆43Updated 6 months ago
- Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021☆65Updated 3 years ago
- ☆92Updated 4 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆38Updated 4 years ago
- There will be updates later☆84Updated 5 years ago
- The code for paper, "Episodic Multi-agent Reinforcement Learning with Curiosity-driven Exploration", NeurIPS 2021.☆40Updated 2 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆99Updated 2 years ago
- ☆43Updated 4 years ago
- ☆28Updated 3 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆52Updated 2 years ago
- Code for "Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning"☆34Updated 3 years ago
- The implementation of ICLR-2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".☆40Updated 4 months ago
- ☆29Updated 2 years ago
- [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.☆84Updated last year
- Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment☆64Updated 6 months ago
- Submission for MAVEN: Multi-Agent Variational Exploration☆57Updated 2 years ago
- ☆26Updated 3 years ago
- Value-Decomposition Multi-Agent Actor-Critics☆40Updated 2 years ago
- ☆32Updated 2 years ago
- Deep Implicit Coordination Graphs☆41Updated 9 months ago
- The Starcraft Multi-Agent challenge lite☆42Updated 6 months ago
- Code for "ALMA: Hierarchical Learning for Composite Multi-Agent Tasks" NeurIPS 2022☆27Updated 2 years ago
- Learning Individual Intrinsic Reward in MARL☆62Updated 2 years ago
- ☆43Updated 3 years ago
- ☆12Updated 2 years ago
- ☆38Updated 2 years ago
- The implementation of AAAI'22 paper "Multi-Agent Incentive Communication via Decentralized Teammate Modeling".☆52Updated last year
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆39Updated 6 years ago
- 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