BY571 / SAC_discrete
PyTorch implementation of the discrete Soft-Actor-Critic algorithm.
☆50Updated 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
- ☆95Updated 3 years ago
- ☆40Updated 3 years ago
- Code for Weighted QMIX☆130Updated 4 years ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆120Updated 10 months ago
- Deep recurrent Q learning on CartPole-v1 environment☆84Updated last year
- Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment☆117Updated 2 years ago
- The official code releasement of publications in MARL field of TJU RL lab.☆70Updated 2 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆161Updated 10 months ago
- pytorch实现的一些MARL算法☆66Updated 3 years ago
- A clean and robust Pytorch implementation of SAC on discrete action space☆34Updated 4 months ago
- This is the official implementation of Multi-Agent PPO.☆105Updated 2 years ago
- ☆196Updated last year
- PyTorch implementation of discrete version of Soft Actor-Critic.☆33Updated 3 years ago
- ☆84Updated 3 years ago
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆63Updated 2 years ago
- Jax and Torch Multi-Agent SAC on PettingZoo API☆70Updated 3 months 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
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆142Updated last year
- ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings☆46Updated 5 years ago
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆100Updated 3 years ago
- PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."☆58Updated 4 years ago
- demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention…☆54Updated 3 years ago
- There will be updates later☆84Updated 5 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆203Updated 5 years ago
- We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enh…☆151Updated last year
- ☆92Updated 4 years ago
- a clean and robust Pytorch implementation of SAC on continuous action space☆67Updated 9 months ago
- implementation of MADDPG using PettingZoo and PyTorch☆130Updated last year
- The implement of the policy gradient RL algorithm with pytorch☆38Updated 4 years ago