ChangyWen / wolpertinger_ddpg
Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatible.
☆66Updated 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
- PyTorch implementation of the paper "Deep Reinforcement Learning in Large Discrete Action Spaces" (Gabriel Dulac-Arnold, Richard Evans, H…☆71Updated 5 years ago
- Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym☆176Updated 7 years ago
- ☆75Updated 5 years ago
- Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https:/…☆82Updated 7 years ago
- Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning☆94Updated last year
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago
- BranchingDQN☆50Updated 6 years ago
- ☆84Updated 3 years ago
- Multi-Objective Reinforcement Learning☆266Updated 3 years ago
- (AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning☆115Updated 2 years ago
- ☆120Updated 2 years ago
- pytorch implementation of "Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control"☆53Updated 2 years ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆118Updated 5 months ago
- ☆26Updated 7 years ago
- Implementation of Hierarchical Deep Q-Learning (Kulkarni et al., 2016)☆35Updated 5 years ago
- Code for Weighted QMIX☆134Updated 4 years ago
- The code for maddpg using pytorch☆168Updated 4 years ago
- The pytorch implementation of DGN on grid world and Starcraft☆140Updated 3 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆63Updated 5 years ago
- The implement of all kinds of dqn reinforcement learning with Pytorch☆93Updated 4 years ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆206Updated 5 years ago
- Value-Decomposition Multi-Agent Actor-Critics☆40Updated 2 years ago
- ☆22Updated 6 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆101Updated 2 years ago
- A Multi-agent Learning Framework☆62Updated 3 years ago
- PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."☆58Updated 4 years ago
- Learning Individual Intrinsic Reward in MARL☆62Updated 2 years ago
- Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment☆117Updated 2 years ago
- Source Code for A Closer Look at Invalid Action Masking in Policy Gradient Algorithms☆152Updated last year
- ☆93Updated 4 years ago