jqueeney / geppoLinks
Generalized Proximal Policy Optimization with Sample Reuse (GePPO)
☆28Updated 2 years ago
Alternatives and similar repositories for geppo
Users that are interested in geppo are comparing it to the libraries listed below
Sorting:
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆51Updated 3 years ago
- ☆30Updated 4 years ago
- Codebase for [Order Matters: Agent-by-agent Policy Optimization](https://openreview.net/forum?id=Q-neeWNVv1)☆32Updated 2 months ago
- Deep Implicit Coordination Graphs☆43Updated last year
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 4 years ago
- ☆49Updated 4 years ago
- ☆22Updated 4 years ago
- Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021☆67Updated 4 years ago
- Code for Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games☆24Updated 3 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆41Updated 5 years ago
- Code accompanying HAAR paper, NeurIPS 2019 - Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards☆32Updated 3 years ago
- Official codebase for paper "Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning" (ICML22)☆23Updated 3 years ago
- ☆33Updated 3 years ago
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆43Updated 7 years ago
- An open source benchmark for Multi Agent Reinforcement Learning☆31Updated 2 years ago
- pytorch implementation of "Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control"☆53Updated 3 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆87Updated 3 years ago
- ☆40Updated 3 years ago
- PyTorch Implementation of COPA for coordinating teams that can dynamically change.☆22Updated 3 years ago
- ☆42Updated 4 years ago
- Learning Individual Intrinsic Reward in MARL☆63Updated 3 years ago
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆94Updated 2 years ago
- (NeurIPS 2021) Neural Auto-Curricula in Two-Player Zero-Sum Games.☆28Updated 4 years ago
- Codes accompanying the paper "Influence-Based Multi-Agent Exploration" (ICLR 2020 spotlight)☆33Updated 5 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆111Updated 3 years ago
- V-MPO torch version with DMLab30 and GTrXL☆13Updated 4 years ago
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆47Updated 4 years ago
- Multi-Agent Determinantal Q-Learning☆44Updated 3 years ago
- ☆116Updated 2 years ago
- The implementation of ICLR 2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".☆46Updated last year