DLR-RM / stable-baselines3Links
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
☆10,908Updated this week
Alternatives and similar repositories for stable-baselines3
Users that are interested in stable-baselines3 are comparing it to the libraries listed below
Sorting:
- A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents include…☆2,457Updated 2 weeks ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,285Updated 2 years ago
- High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, T…☆7,255Updated 2 months ago
- A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.☆2,829Updated last week
- Massively Parallel Deep Reinforcement Learning. 🔥☆4,063Updated last month
- An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities☆2,973Updated 3 weeks ago
- An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly…☆9,417Updated last week
- A toolkit for reproducible reinforcement learning research.☆1,984Updated 2 years ago
- An elegant PyTorch deep reinforcement learning library.☆8,577Updated 2 weeks ago
- PyTorch implementations of deep reinforcement learning algorithms and environments☆5,829Updated 10 months ago
- Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch☆2,066Updated 11 months ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆1,888Updated last year
- Collection of reinforcement learning algorithms☆2,709Updated last year
- Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)☆3,020Updated 2 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,779Updated 3 years ago
- PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....☆4,341Updated 2 years ago
- OpenAI Baselines: high-quality implementations of reinforcement learning algorithms☆16,327Updated 10 months ago
- Reinforcement Learning in PyTorch☆2,259Updated 4 years ago
- MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.☆3,009Updated last year
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,630Updated 3 years ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,314Updated last year
- A library of reinforcement learning components and agents☆3,709Updated 3 weeks ago
- Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.☆2,583Updated last year
- Clean PyTorch implementations of imitation and reward learning algorithms☆1,518Updated 5 months ago
- Simple and easily configurable grid world environments for reinforcement learning☆2,266Updated this week
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,180Updated 2 years ago
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆1,959Updated 3 weeks ago
- Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.☆4,108Updated last week
- Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code☆606Updated this week
- An educational resource to help anyone learn deep reinforcement learning.☆10,973Updated 10 months ago