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''.
☆120Updated last year
Alternatives and similar repositories for SQDDPG
Users that are interested in SQDDPG are comparing it to the libraries listed below
Sorting:
- Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.☆106Updated 4 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆107Updated 3 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆85Updated 2 years ago
- There will be updates later☆87Updated 6 years ago
- ☆76Updated 6 years ago
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆167Updated 2 years ago
- ☆122Updated 2 years ago
- ☆78Updated last year
- Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.☆217Updated 6 years ago
- Code for paper 'Learning transferable cooperative behaviors in multi-agent teams' (ICML 2019)☆115Updated 2 years ago
- ☆54Updated 6 years ago
- Multi-Agent Determinantal Q-Learning☆44Updated 3 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆67Updated 6 years ago
- Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks☆222Updated 2 years ago
- pytorch implementation of "Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control"☆53Updated 2 years ago
- Learning Individual Intrinsic Reward in MARL☆63Updated 2 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆331Updated 4 years ago
- Mean Field Multi-Agent Reinforcement Learning☆410Updated 5 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆41Updated 5 years ago
- MADDPG in Ray/RLlib☆54Updated 5 years ago
- ☆90Updated 4 years ago
- PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."☆61Updated 5 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆293Updated 4 years ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆100Updated 6 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆130Updated 2 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆146Updated 6 years ago
- Submission for MAVEN: Multi-Agent Variational Exploration☆59Updated 3 years ago
- ☆100Updated 5 years 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
- Code for Weighted QMIX☆144Updated 5 years ago