011235813 / lioLinks
Learning to Incentivize Other Learning Agents
☆34Updated 3 years ago
Alternatives and similar repositories for lio
Users that are interested in lio are comparing it to the libraries listed below
Sorting:
- Submission for MAVEN: Multi-Agent Variational Exploration☆58Updated 3 years ago
- Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021☆65Updated 4 years ago
- ☆75Updated last year
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆160Updated 2 years ago
- [NeurIPS 2020] PyTorch implementation of "Learning Implicit Credit Assignment for Cooperative Muti-Agent Reinforcement Learning"☆60Updated last year
- Scalable Multi-Agent Reinforcement Learning☆12Updated 3 years ago
- Learning Individual Intrinsic Reward in MARL☆63Updated 2 years ago
- [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.☆85Updated 2 years ago
- ☆112Updated 2 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆177Updated 3 years ago
- Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS…☆74Updated 2 years ago
- Code for "On the Utility of Learning about Humans for Human-AI Coordination"☆109Updated 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
- Codes accompanying the paper "Influence-Based Multi-Agent Exploration" (ICLR 2020 spotlight)☆32Updated 5 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago
- ☆26Updated 7 years ago
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆37Updated 5 months ago
- ☆43Updated 4 years ago
- Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination☆28Updated 2 years ago
- Official Repository for "Agent Modelling under Partial Observability for Deep Reinforcement Learning"☆36Updated 2 years ago
- ☆54Updated last year
- IJCAI 2019 - Regularized Opponent Model with Maximum Entropy Objective (ROMMEO)☆23Updated 2 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆41Updated 5 years ago
- Pytorch Implementation for First Order Constrained Optimization in Policy Space (FOCOPS).☆29Updated 3 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆105Updated 3 years ago
- ☆49Updated 4 years ago
- ☆17Updated last year
- Official Code Release for Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games☆51Updated 11 months ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆130Updated last year
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆46Updated 3 years ago