nikhil3456 / Deep-Reinforcement-Learning-in-Large-Discrete-Action-SpacesLinks
PyTorch implementation of the paper "Deep Reinforcement Learning in Large Discrete Action Spaces" (Gabriel Dulac-Arnold, Richard Evans, Hado van Hasselt, Peter Sunehag, Timothy Lillicrap, Jonathan Hunt, Timothy Mann, Theophane Weber, Thomas Degris, Ben Coppin).
☆71Updated 5 years ago
Alternatives and similar repositories for Deep-Reinforcement-Learning-in-Large-Discrete-Action-Spaces
Users that are interested in Deep-Reinforcement-Learning-in-Large-Discrete-Action-Spaces are comparing it to the libraries listed below
Sorting:
- Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatib…☆65Updated 2 years ago
- Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning☆101Updated 2 years ago
- Multi-Objective Reinforcement Learning☆284Updated 4 years ago
- (AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning☆117Updated 2 years ago
- ☆89Updated 3 years ago
- Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https:/…☆87Updated 7 years ago
- Source Code for A Closer Look at Invalid Action Masking in Policy Gradient Algorithms☆163Updated 2 years ago
- BranchingDQN☆50Updated 6 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago
- ☆76Updated 5 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 10 months ago
- Implementation of Hierarchical Deep Q-Learning (Kulkarni et al., 2016)☆35Updated 6 years ago
- Multi-Objective Deep Reinforcement Learning☆45Updated 8 years ago
- DGN Code☆357Updated 2 years ago
- Hierarchical-DQN in pytorch (not actively maintained)☆72Updated 8 years ago
- qmix☆23Updated 5 years ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆221Updated 6 years ago
- pytorch implementation of "Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control"☆54Updated 2 years ago
- The pytorch implementation of DGN on grid world and Starcraft☆146Updated 3 years ago
- The code for maddpg using pytorch☆170Updated 4 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆104Updated 3 years ago
- Minimal implementation of multi-agent reinforcement learning algorithms☆58Updated 4 years ago
- very easy implementation of dueling DQN in pytorch☆73Updated 2 years ago
- Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks☆219Updated last year
- PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."☆59Updated 5 years ago
- Multi Type Mean Field Reinforcement Learning☆31Updated 3 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆65Updated 6 years ago
- Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some e…☆53Updated 4 years ago
- Implementation code for GraphMIX: Graph Convolutional Value Decomposition in Multi-Agent Reinforcement Learning☆35Updated 4 years ago
- Solving POMDP using Recurrent networks☆91Updated 5 years ago