cycraig / MP-DQN
Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"
☆202Updated 5 years ago
Alternatives and similar repositories for MP-DQN:
Users that are interested in MP-DQN are comparing it to the libraries listed below
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆159Updated 9 months ago
- ☆191Updated last year
- The code for maddpg using pytorch☆164Updated 4 years ago
- Code for Weighted QMIX☆129Updated 4 years ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆116Updated 9 months ago
- Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment☆115Updated 2 years ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆140Updated last year
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆446Updated last year
- PyTorch implementation of SAC-Discrete.☆296Updated 6 months ago
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆93Updated 3 years ago
- A clean and robust Pytorch implementation of PPO on continuous action space.☆130Updated 8 months ago
- This is the official implementation of Multi-Agent PPO.☆102Updated 2 years ago
- The official code releasement of publications in MARL field of TJU RL lab.☆68Updated 2 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆286Updated 3 years ago
- ☆94Updated 3 years ago
- DSAC; Distributional Soft Actor-Critic☆123Updated this week
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆305Updated 3 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆83Updated last year
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆79Updated 4 years ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆600Updated 5 years ago
- multi-agent deep reinforcement learning for networked system control.☆402Updated 4 years ago
- ☆83Updated 3 years ago
- 多智能体强化学习(MARL)算法复现,包括QMIX,VDN,QTRAN、MAVEN等等☆186Updated 2 years ago
- Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]☆304Updated 2 years ago
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆49Updated 4 years ago
- PyTorch implementation of GAIL and AIRL based on PPO.☆206Updated 4 years ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆340Updated 3 years ago
- PyTorch implementation of the discrete Soft-Actor-Critic algorithm.☆49Updated 3 years ago
- We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enh…☆147Updated last year
- pytorch实现的一些MARL算法☆65Updated 3 years ago