XinJingHao / PPO-Continuous-PytorchLinks
A clean and robust Pytorch implementation of PPO on continuous action space.
☆151Updated 11 months ago
Alternatives and similar repositories for PPO-Continuous-Pytorch
Users that are interested in PPO-Continuous-Pytorch are comparing it to the libraries listed below
Sorting:
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆209Updated 6 years ago
- DSAC; Distributional Soft Actor-Critic☆126Updated 3 months ago
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆92Updated 4 years ago
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆482Updated last year
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆173Updated last year
- Solve BipedalWalkerHardcore-v2 with TD3☆89Updated 2 years ago
- ☆204Updated last year
- a clean and robust Pytorch implementation of SAC on continuous action space☆77Updated last month
- implementation of MADDPG using PettingZoo and PyTorch☆144Updated last year
- ☆96Updated 3 years ago
- A clean and robust Pytorch implementation of PPO on Discrete action space☆68Updated 11 months ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆137Updated last year
- The code for maddpg using pytorch☆168Updated 4 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆90Updated last year
- DSAC-v2; DSAC-T; DASC; Distributional Soft Actor-Critic☆356Updated this week
- Code for Weighted QMIX☆136Updated 4 years ago
- 🚀 A fast safe reinforcement learning library in PyTorch☆193Updated 8 months ago
- A clean and robust Pytorch implementation of SAC on discrete action space☆39Updated 7 months ago
- PyTorch implementation of SAC-Discrete.☆302Updated 10 months ago
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆51Updated 3 months ago
- ILSwiss is an Easy-to-run Imitation Learning (IL, or Learning from Demonstration, LfD) and also Reinforcement Learning (RL) framework (te…☆170Updated last year
- This is the official implementation of Multi-Agent PPO.☆106Updated 2 years ago
- 多智能体强化学习（MARL）算法复现，包括QMIX，VDN，QTRAN、MAVEN等等☆198Updated 2 years ago
- Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment☆117Updated 2 years ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆361Updated 3 years ago
- PyTorch implementation of GAIL and AIRL based on PPO.☆223Updated 4 years ago
- The official code releasement of publications in MARL field of TJU RL lab.☆79Updated 2 years ago
- PyTorch implementation of Constrained Policy Optimization☆54Updated 3 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆288Updated 4 years ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆153Updated last year