MoMe36 / BranchingDQNLinks
BranchingDQN
☆50Updated 6 years ago
Alternatives and similar repositories for BranchingDQN
Users that are interested in BranchingDQN are comparing it to the libraries listed below
Sorting:
- ☆90Updated 4 years ago
- (AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning☆120Updated 2 years ago
- Source Code for A Closer Look at Invalid Action Masking in Policy Gradient Algorithms☆166Updated 2 years ago
- Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning☆104Updated 2 years ago
- PyTorch implementation of the paper "Deep Reinforcement Learning in Large Discrete Action Spaces" (Gabriel Dulac-Arnold, Richard Evans, H…☆71Updated 6 years ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆223Updated 6 years ago
- Code snippets of Meta Reinforcement Learning algorithms☆39Updated 2 years ago
- Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https:/…☆87Updated 8 years ago
- qmix☆23Updated 5 years ago
- Code for Weighted QMIX☆144Updated 5 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆67Updated 6 years ago
- Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatib…☆65Updated 3 years ago
- The code for maddpg using pytorch☆169Updated 5 years ago
- Multi-Objective Reinforcement Learning☆292Updated 4 years ago
- ☆76Updated 6 years ago
- PyTorch implementation of discrete version of Soft Actor-Critic.☆36Updated 4 years ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆163Updated 2 years ago
- PyTorch implementation of the discrete Soft-Actor-Critic algorithm.☆55Updated 4 years ago
- ☆46Updated 3 years ago
- Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment☆116Updated 3 years ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆120Updated last year
- demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention…☆64Updated 4 years ago
- Revisiting Discrete Soft Actor-Critic Accepted by Transactions on Machine Learning Research (TMLR)☆26Updated last year
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆96Updated 4 years ago
- Code for "SMIX(λ): Enhancing Centralized Value Functions for Cooperative Multi-Agent Reinforcement Learning" AAAI 2020☆26Updated 3 years ago
- ☆106Updated 4 years ago
- The pytorch implementation of DGN on grid world and Starcraft☆148Updated 4 years ago
- Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.☆106Updated 5 years ago
- ☆40Updated 4 years ago
- multi-agent deep reinforcement learning for networked system control.☆433Updated 5 years ago