XinJingHao / SAC-Continuous-PytorchLinks
a clean and robust Pytorch implementation of SAC on continuous action space
☆90Updated 8 months ago
Alternatives and similar repositories for SAC-Continuous-Pytorch
Users that are interested in SAC-Continuous-Pytorch are comparing it to the libraries listed below
Sorting:
- implementation of MADDPG using PettingZoo and PyTorch☆162Updated 2 years ago
- Jax and Torch Multi-Agent SAC on PettingZoo API☆97Updated last year
- A clean and robust Pytorch implementation of PPO on continuous action space.☆169Updated last year
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆151Updated last year
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆54Updated 10 months ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆215Updated last year
- DSAC-v2; DSAC-T; DASC; Distributional Soft Actor-Critic☆427Updated 3 weeks ago
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆91Updated 5 years ago
- This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.☆107Updated 3 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆93Updated last year
- Solve BipedalWalkerHardcore-v2 with TD3☆95Updated 2 years ago
- PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm☆60Updated 3 years ago
- TD3 in Pytorch☆35Updated 3 years ago
- Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation☆140Updated 5 months ago
- Simple and efficient implementation of DQN DDPG TD3 SAC PPO MADDPG MATD3 MASAC MAAC IPPO MAPPO HAPPO MAT MORL☆145Updated last week
- ☆106Updated 4 years ago
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆518Updated 2 years ago
- Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space☆59Updated 3 years ago
- This is the official implementation of Multi-Agent PPO.☆129Updated 2 years ago
- A Collection of Multi-Agent Reinforcement Learning (MARL) Resources☆257Updated 3 years ago
- Algorithm that combines QMIX with SAC for Multi-Agent Reinforcement Learning.☆56Updated 3 years ago
- Implement reinforcement learning algorithms in Pytorch☆33Updated 4 years ago
- PyTorch implementation of MATD3☆13Updated 5 years ago
- The official code releasement of publications in MARL field of TJU RL lab.☆83Updated 3 years ago
- ☆220Updated 2 years ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆223Updated 6 years ago
- A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm☆372Updated 4 years ago
- implementation of MADDPG using PyTorch and multiagent-particle-envs☆38Updated 3 years ago
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆75Updated 3 years ago
- The implementation of LSTM-TD3.☆86Updated 2 years ago