BY571 / SAC_discrete
PyTorch implementation of the discrete Soft-Actor-Critic algorithm.
☆49Updated 3 years ago
Alternatives and similar repositories for SAC_discrete:
Users that are interested in SAC_discrete are comparing it to the libraries listed below
- ☆40Updated 3 years ago
- ☆94Updated 3 years ago
- Code for Weighted QMIX☆129Updated 4 years ago
- Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment☆115Updated 2 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆83Updated last year
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆61Updated 2 years ago
- Jax and Torch Multi-Agent SAC on PettingZoo API☆69Updated 2 months ago
- PyTorch implementation of discrete version of Soft Actor-Critic.☆31Updated 3 years ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆118Updated 10 months ago
- There will be updates later☆84Updated 5 years ago
- pytorch实现的一些MARL算法☆65Updated 3 years ago
- A clean and robust Pytorch implementation of SAC on discrete action space☆34Updated 3 months ago
- PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."☆57Updated 4 years ago
- 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
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆159Updated 10 months ago
- This is the official implementation of Multi-Agent PPO.☆102Updated 2 years ago
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆93Updated 3 years ago
- demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention…☆53Updated 3 years ago
- The implement of the policy gradient RL algorithm with pytorch☆38Updated 4 years ago
- The official code releasement of publications in MARL field of TJU RL lab.☆69Updated 2 years ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆140Updated last year
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆99Updated 2 years ago
- ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings☆43Updated 5 years ago
- ☆91Updated 4 years ago
- Revisiting Discrete Soft Actor-Critic Accepted by Transactions on Machine Learning Research (TMLR)☆19Updated 2 months ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆202Updated 5 years ago
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆49Updated 4 years ago
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆99Updated 3 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆38Updated 4 years ago
- ☆193Updated last year