DLR-RM / stable-baselines3Links
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
☆11,701Updated last week
Alternatives and similar repositories for stable-baselines3
Users that are interested in stable-baselines3 are comparing it to the libraries listed below
Sorting:
- High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, T…☆7,986Updated 3 months ago
- A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents include…☆2,567Updated last month
- A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.☆3,083Updated last week
- Massively Parallel Deep Reinforcement Learning. 🔥☆4,190Updated last month
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,310Updated 3 years ago
- An elegant PyTorch deep reinforcement learning library.☆8,823Updated last week
- An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities☆3,134Updated last month
- Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.☆2,665Updated last year
- Clean PyTorch implementations of imitation and reward learning algorithms☆1,602Updated 9 months ago
- Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch☆2,184Updated last year
- A toolkit for reproducible reinforcement learning research.☆2,026Updated 2 years ago
- Collection of reinforcement learning algorithms☆2,776Updated last year
- PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....☆4,460Updated 2 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,835Updated 3 years ago
- PFRL: a PyTorch-based deep reinforcement learning library☆1,247Updated last year
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆1,963Updated 2 years ago
- An educational resource to help anyone learn deep reinforcement learning.☆11,265Updated last year
- An offline deep reinforcement learning library☆1,559Updated 3 weeks ago
- A library of reinforcement learning components and agents☆3,798Updated last week
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,287Updated 6 months ago
- An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly…☆10,321Updated this week
- Simple and easily configurable grid world environments for reinforcement learning☆2,335Updated last month
- Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code☆643Updated 2 weeks ago
- PyTorch implementations of deep reinforcement learning algorithms and environments☆5,875Updated last year
- MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.☆3,075Updated 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…☆1,107Updated last year
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,357Updated last year
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆1,984Updated last week
- Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)☆3,071Updated 2 years ago
- Reinforcement Learning in PyTorch☆2,266Updated 4 years ago