XinJingHao / SAC-Continuous-PytorchLinks
a clean and robust Pytorch implementation of SAC on continuous action space
☆90Updated 9 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:
- A clean and robust Pytorch implementation of PPO on continuous action space.☆169Updated last year
- implementation of MADDPG using PettingZoo and PyTorch☆164Updated 2 years ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆157Updated last year
- Jax and Torch Multi-Agent SAC on PettingZoo API☆100Updated last year
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆220Updated last year
- This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.☆108Updated 3 years ago
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆92Updated 5 years ago
- DSAC-v2; DSAC-T; DASC; Distributional Soft Actor-Critic☆433Updated 2 months ago
- Deep recurrent Q learning on CartPole-v1 environment☆94Updated 2 years ago
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆54Updated 11 months ago
- Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation☆142Updated 7 months ago
- PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm☆61Updated 3 years ago
- ☆222Updated 2 years ago
- Simple and efficient implementation of DQN DDPG TD3 SAC PPO MADDPG MATD3 MASAC MAAC IPPO MAPPO HAPPO MAT MORL☆153Updated last month
- Solve BipedalWalkerHardcore-v2 with TD3☆96Updated 2 years ago
- DSAC; Distributional Soft Actor-Critic☆137Updated last year
- Implement reinforcement learning algorithms in Pytorch☆34Updated 4 years ago
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆96Updated 4 years ago
- The official code releasement of publications in MARL field of TJU RL lab.☆87Updated 3 years ago
- Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space☆61Updated 3 years ago
- A clean and robust Pytorch implementation of SAC on discrete action space☆42Updated last year
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆527Updated 2 years ago
- A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm☆379Updated 4 years ago
- The implementation of LSTM-TD3.☆87Updated 2 years ago
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆77Updated 3 years ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆231Updated 6 years ago
- ☆110Updated 4 years ago
- D3QN Pytorch☆69Updated 4 years ago
- Algorithm that combines QMIX with SAC for Multi-Agent Reinforcement Learning.☆57Updated 3 years ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆169Updated 2 years ago