quantumiracle / Popular-RL-AlgorithmsLinks
PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..
☆1,267Updated 4 months ago
Alternatives and similar repositories for Popular-RL-Algorithms
Users that are interested in Popular-RL-Algorithms are comparing it to the libraries listed below
Sorting:
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,323Updated last year
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆1,918Updated 2 years ago
- PyTorch implementation of soft actor critic☆895Updated 3 weeks ago
- A collection of reference environments for offline reinforcement learning☆1,545Updated 8 months ago
- Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.☆952Updated 2 months ago
- Python Multi-Agent Reinforcement Learning framework☆2,065Updated 2 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,237Updated 4 years ago
- Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019☆694Updated 2 years ago
- Soft Actor-Critic☆1,124Updated last year
- Collection of reinforcement learning algorithms☆2,735Updated last year
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆760Updated last year
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario…☆1,615Updated 2 years ago
- This is the official implementation of Multi-Agent PPO (MAPPO).☆1,647Updated last year
- ☆1,214Updated last year
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆759Updated 3 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,183Updated 2 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,079Updated 4 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆719Updated 3 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆346Updated 5 years ago
- SMAC: The StarCraft Multi-Agent Challenge☆1,232Updated last year
- Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch☆2,134Updated last year
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆682Updated 4 years ago
- Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch☆617Updated 6 years ago
- Simple A3C implementation with pytorch + multiprocessing☆649Updated 2 years ago
- A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-par…☆1,053Updated 10 months ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆710Updated 2 years ago
- DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DD…☆335Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆555Updated 3 years ago
- 32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each projec…☆924Updated 4 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆638Updated 4 years ago