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☆103Updated 2 years ago
- Multi-Objective Reinforcement Learning☆290Updated 4 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
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆83Updated 2 years ago
- Hierarchical-DQN in pytorch (not actively maintained)☆74Updated 8 years ago
- BranchingDQN☆50Updated 6 years ago
- Implementation of Hierarchical Deep Q-Learning (Kulkarni et al., 2016)☆36Updated 6 years ago
- ☆76Updated 6 years ago
- Source Code for A Closer Look at Invalid Action Masking in Policy Gradient Algorithms☆165Updated 2 years ago
- The implement of all kinds of dqn reinforcement learning with Pytorch☆94Updated 4 years ago
- ☆90Updated 4 years ago
- Minimal implementation of multi-agent reinforcement learning algorithms☆59Updated 4 years ago
- Code for the paper "Meta-Q-Learning"( ICLR 2020)☆104Updated 3 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆41Updated 5 years ago
- Multi-Objective Deep Reinforcement Learning☆45Updated 8 years ago
- The code for maddpg using pytorch☆169Updated 5 years ago
- ☆131Updated last year
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆119Updated last year
- PyTorch implementation of SAC-Discrete.☆310Updated last year
- PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."☆61Updated 5 years ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆100Updated 6 years ago
- qmix☆23Updated 5 years ago
- Implementation for mSAC methods in PyTorch☆41Updated 4 years ago
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆181Updated 2 years ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆222Updated 6 years ago
- Collection of OpenAI parametrized action-space environments.☆66Updated 7 months ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆107Updated 3 years ago
- Learning Individual Intrinsic Reward in MARL☆63Updated 2 years ago