cycraig / MP-DQNLinks
Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"
☆221Updated 6 years ago
Alternatives and similar repositories for MP-DQN
Users that are interested in MP-DQN are comparing it to the libraries listed below
Sorting:
- The code for maddpg using pytorch☆170Updated 5 years ago
- A clean and robust Pytorch implementation of PPO on continuous action space.☆163Updated last year
- This is the official implementation of Multi-Agent PPO.☆117Updated 2 years ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆652Updated 5 years ago
- A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm☆358Updated 4 years ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆142Updated last year
- Code for Weighted QMIX☆140Updated 4 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆192Updated last year
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆499Updated 2 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆292Updated 4 years ago
- ☆217Updated 2 years ago
- ☆40Updated 3 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆92Updated last year
- PyTorch implementation of SAC-Discrete.☆311Updated last year
- multi-agent deep reinforcement learning for networked system control.☆426Updated 5 years ago
- ☆102Updated 3 years ago
- The official code releasement of publications in MARL field of TJU RL lab.☆80Updated 3 years ago
- Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment☆116Updated 2 years ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆159Updated last year
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆94Updated 4 years ago
- Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)☆349Updated 5 years ago
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆87Updated 4 years ago
- ☆89Updated 3 years ago
- PyTorch implementation of the discrete Soft-Actor-Critic algorithm.☆53Updated 4 years ago
- PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."☆59Updated 5 years ago
- Source Code for A Closer Look at Invalid Action Masking in Policy Gradient Algorithms☆163Updated 2 years ago
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆53Updated 7 months ago
- The pytorch implementation of DGN on grid world and Starcraft☆147Updated 3 years ago
- Multi-Agent Reinforcement Learning (MARL) papers☆273Updated 3 years ago
- ☆48Updated 5 years ago