ChangyWen / wolpertinger_ddpgLinks
Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatible.
☆65Updated 2 years ago
Alternatives and similar repositories for wolpertinger_ddpg
Users that are interested in wolpertinger_ddpg are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of the paper "Deep Reinforcement Learning in Large Discrete Action Spaces" (Gabriel Dulac-Arnold, Richard Evans, H…☆71Updated 5 years ago
- DGN Code☆358Updated 2 years ago
- Multi-Objective Reinforcement Learning☆287Updated 4 years ago
- Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym☆178Updated 7 years ago
- (AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning☆117Updated 2 years ago
- Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https:/…☆88Updated 7 years ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆119Updated 11 months ago
- ☆76Updated 6 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆82Updated 2 years ago
- Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning☆102Updated 2 years ago
- ☆89Updated 4 years ago
- BranchingDQN☆50Updated 6 years ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆100Updated 6 years ago
- Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks☆219Updated 2 years ago
- Mean Field Multi-Agent Reinforcement Learning☆407Updated 5 years ago
- The pytorch implementation of DGN on grid world and Starcraft☆148Updated 3 years ago
- Hierarchical-DQN in pytorch (not actively maintained)☆73Updated 8 years ago
- ☆122Updated 2 years ago
- Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.☆106Updated 4 years ago
- The code for maddpg using pytorch☆169Updated 5 years ago
- Value-Decomposition Multi-Agent Actor-Critics☆40Updated 2 years ago
- pytorch implementation of "Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control"☆53Updated 2 years ago
- Source Code for A Closer Look at Invalid Action Masking in Policy Gradient Algorithms☆165Updated 2 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆67Updated 6 years ago
- The implement of all kinds of dqn reinforcement learning with Pytorch☆94Updated 4 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆147Updated 6 years ago
- Implementation of Hierarchical Deep Q-Learning (Kulkarni et al., 2016)☆36Updated 6 years ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆221Updated 6 years ago
- ☆78Updated last year
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆163Updated 2 years ago