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..
☆1,305Updated 7 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:
- PyTorch implementation of soft actor critic☆919Updated 3 months ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,360Updated last year
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆1,979Updated 2 years ago
- A collection of reference environments for offline reinforcement learning☆1,600Updated 11 months ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆763Updated last year
- Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.☆968Updated 5 months ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,257Updated 4 years ago
- Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019☆712Updated 2 years ago
- Collection of reinforcement learning algorithms☆2,800Updated last year
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆771Updated 3 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆733Updated 3 years ago
- Python Multi-Agent Reinforcement Learning framework☆2,106Updated 2 years ago
- ☆1,279Updated last year
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario…☆1,671Updated 3 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,078Updated 4 years ago
- Soft Actor-Critic☆1,170Updated last year
- Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch☆2,225Updated last year
- This is the official implementation of Multi-Agent PPO (MAPPO).☆1,750Updated last year
- Simple A3C implementation with pytorch + multiprocessing☆656Updated 2 years ago
- SMAC: The StarCraft Multi-Agent Challenge☆1,280Updated last year
- The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization☆871Updated last year
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆724Updated 2 years ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆687Updated 4 years ago
- A collection of multi agent environments based on OpenAI gym.☆620Updated 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…☆1,140Updated last year
- Vanilla DQN, Double DQN, and Dueling DQN implemented in PyTorch☆540Updated 7 years ago
- Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code☆657Updated last week
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆609Updated 8 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆354Updated 5 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,189Updated 3 years ago