hsvgbkhgbv / SQDDPGLinks
This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled by ''Shapley Q-value: A Local Reward Approach to Solve Global Reward Games''.
☆119Updated 9 months ago
Alternatives and similar repositories for SQDDPG
Users that are interested in SQDDPG are comparing it to the libraries listed below
Sorting:
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆105Updated 3 years ago
- ☆121Updated 2 years ago
- Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.☆106Updated 4 years ago
- ☆75Updated last year
- Code for paper 'Learning transferable cooperative behaviors in multi-agent teams' (ICML 2019)☆115Updated 2 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago
- There will be updates later☆84Updated 6 years ago
- Learning Individual Intrinsic Reward in MARL☆63Updated 2 years ago
- MADDPG in Ray/RLlib☆54Updated 5 years ago
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆160Updated 2 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆318Updated 3 years ago
- Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.☆210Updated 6 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆127Updated 2 years ago
- ☆53Updated 6 years ago
- PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."☆59Updated 5 years ago
- Collection of OpenAI parametrized action-space environments.☆65Updated 4 months ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆51Updated 2 years ago
- Multi-Agent Determinantal Q-Learning☆43Updated 2 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆41Updated 5 years ago
- Code for Weighted QMIX☆138Updated 4 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆289Updated 4 years ago
- pytorch implementation of "Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control"☆53Updated 2 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆65Updated 6 years ago
- ☆76Updated 5 years ago
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆40Updated 6 years ago
- Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks☆219Updated last year
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆143Updated 6 years ago
- Submission for MAVEN: Multi-Agent Variational Exploration☆58Updated 3 years ago
- Mean Field Multi-Agent Reinforcement Learning☆397Updated 5 years ago
- Value-Decomposition Multi-Agent Actor-Critics☆39Updated 2 years ago