Lizhi-sjtu / DRL-code-pytorchLinks
Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.
☆1,439Updated 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☆1,034Updated last week
- This is the official implementation of Multi-Agent PPO (MAPPO).☆1,865Updated last year
- Lightweight version of MAPPO to help you quickly migrate to your local environment.☆804Updated 3 months ago
- ☆1,046Updated 3 years ago
- kinds of reinforcement learning model by Pytorch☆344Updated 2 years ago
- Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch☆2,306Updated last year
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario…☆1,720Updated 3 years ago
- ☆841Updated 2 years ago
- Official implementation of HARL algorithms based on PyTorch.☆854Updated 9 months ago
- Concise pytorch implements of MARL algorithms, including MAPPO, MADDPG, MATD3, QMIX and VDN.☆709Updated 3 years ago
- The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization☆912Updated last year
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆2,030Updated 2 years ago
- ☆599Updated last year
- Reinforcement learning with PyTorch, inspired by MorvanZhou, change the framework from Tensorflow to PyTorch☆315Updated 6 years ago
- DRLib：a Concise Deep Reinforcement Learning Library, Integrating HER, PER and D2SR for Almost Off-Policy RL Algorithms.☆564Updated last year
- A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-par…☆1,206Updated last year
- This repository collects some codes that encapsulates commonly used algorithms in the field of machine learning. Most of them are based o…☆616Updated 8 months ago
- DSAC-v2; DSAC-T; DASC; Distributional Soft Actor-Critic☆433Updated 2 months ago
- Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-C…☆670Updated 3 years ago
- ☆478Updated 2 years ago
- ☆465Updated 8 months ago
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆526Updated 2 years ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆677Updated 6 years ago
- Vanilla DQN, Double DQN, and Dueling DQN implemented in PyTorch☆555Updated 7 years ago
- A Collection of Multi-Agent Reinforcement Learning (MARL) Resources☆258Updated 3 years ago
- One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)☆1,258Updated last year
- RL algorithms☆141Updated 4 years ago
- Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C5…☆3,259Updated 7 months ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,330Updated 10 months ago
- The repository is for safe reinforcement learning baselines.☆761Updated last week