XinJingHao / SAC-Continuous-PytorchLinks
a clean and robust Pytorch implementation of SAC on continuous action space
☆83Updated 3 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:
- Jax and Torch Multi-Agent SAC on PettingZoo API☆86Updated 8 months ago
- implementation of MADDPG using PettingZoo and PyTorch☆153Updated last year
- A clean and robust Pytorch implementation of PPO on continuous action space.☆159Updated last year
- This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.☆102Updated 3 years ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆141Updated last year
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆181Updated last year
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆87Updated 4 years ago
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆51Updated 5 months ago
- DSAC-v2; DSAC-T; DASC; Distributional Soft Actor-Critic☆387Updated 3 weeks ago
- Simple and efficient implementation of DQN DDPG TD3 SAC PPO MADDPG MATD3 MASAC MAAC IPPO MAPPO HAPPO MAT MORL☆101Updated 3 weeks ago
- PyTorch implementations of MADDPG, MAPPO (coming)☆165Updated last year
- Solve BipedalWalkerHardcore-v2 with TD3☆90Updated 2 years ago
- Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space☆53Updated 3 years ago
- Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation☆118Updated 3 weeks ago
- Use Multi-agent Twin Delayed Deep Deterministic Policy Gradient(TD3) algorithm to find reasonable paths for ships☆64Updated 2 years ago
- A clean and robust Pytorch implementation of SAC on discrete action space☆42Updated 9 months ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆157Updated last year
- Algorithm that combines QMIX with SAC for Multi-Agent Reinforcement Learning.☆51Updated 3 years ago
- ☆101Updated 3 years ago
- PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm☆51Updated 3 years ago
- ☆214Updated 2 years ago
- This is the official implementation of Multi-Agent PPO.☆112Updated 2 years ago
- The official code releasement of publications in MARL field of TJU RL lab.☆79Updated 3 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆91Updated last year
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆91Updated 4 years ago
- demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention…☆60Updated 4 years ago
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆72Updated 3 years ago
- The implementation of LSTM-TD3.☆82Updated 2 years ago
- A Collection of Multi-Agent Reinforcement Learning (MARL) Resources☆241Updated 2 years ago
- PyTorch implementation of MATD3☆13Updated 5 years ago