Lizhi-sjtu / DRL-code-pytorchLinks
Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.
☆1,412Updated 2 years ago
Alternatives and similar repositories for DRL-code-pytorch
Users that are interested in DRL-code-pytorch are comparing it to the libraries listed below
Sorting:
- XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library☆992Updated this week
- ☆1,032Updated 2 years ago
- This is the official implementation of Multi-Agent PPO (MAPPO).☆1,776Updated last year
- Lightweight version of MAPPO to help you quickly migrate to your local environment.☆767Updated last month
- kinds of reinforcement learning model by Pytorch☆347Updated 2 years ago
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario…☆1,689Updated 3 years ago
- Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch☆2,257Updated last year
- Official implementation of HARL algorithms based on PyTorch.☆818Updated 7 months ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆2,000Updated 2 years ago
- The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization☆882Updated last year
- ☆811Updated 2 years ago
- ☆576Updated last year
- Reinforcement learning with PyTorch, inspired by MorvanZhou, change the framework from Tensorflow to PyTorch☆314Updated 5 years ago
- DSAC-v2; DSAC-T; DASC; Distributional Soft Actor-Critic☆420Updated 4 months ago
- This repository collects some codes that encapsulates commonly used algorithms in the field of machine learning. Most of them are based o…☆598Updated 6 months ago
- DRLib：a Concise Deep Reinforcement Learning Library, Integrating HER, PER and D2SR for Almost Off-Policy RL Algorithms.☆560Updated last year
- ☆456Updated 6 months ago
- Concise pytorch implements of MARL algorithms, including MAPPO, MADDPG, MATD3, QMIX and VDN.☆678Updated 3 years ago
- RL algorithms☆141Updated 4 years ago
- ☆106Updated 2 years ago
- Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C5…☆3,142Updated 5 months ago
- The repository is for safe reinforcement learning baselines.☆731Updated last month
- A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-par…☆1,160Updated last year
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,316Updated 8 months ago
- Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-C…☆661Updated 3 years ago
- ☆456Updated last year
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆514Updated 2 years ago
- Vanilla DQN, Double DQN, and Dueling DQN implemented in PyTorch☆546Updated 7 years ago
- PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....☆4,520Updated 2 years ago
- Python Multi-Agent Reinforcement Learning framework☆2,120Updated 2 years ago