DLR-RM / stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
☆10,538Updated 2 weeks ago
Alternatives and similar repositories for stable-baselines3:
Users that are interested in stable-baselines3 are comparing it to the libraries listed below
- A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents include…☆2,397Updated 2 weeks ago
- High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, T…☆6,946Updated 3 weeks ago
- A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.☆2,711Updated this week
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,257Updated 2 years ago
- An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities☆2,910Updated 2 weeks ago
- Collection of reinforcement learning algorithms☆2,667Updated 10 months ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,740Updated 2 years ago
- An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly…☆9,054Updated 2 weeks ago
- Massively Parallel Deep Reinforcement Learning. 🔥☆4,013Updated last month
- Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch☆2,009Updated 9 months ago
- MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.☆2,985Updated last year
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆1,861Updated last year
- PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....☆4,270Updated 2 years ago
- Simple and easily configurable grid world environments for reinforcement learning☆2,231Updated 3 months ago
- An elegant PyTorch deep reinforcement learning library.☆8,447Updated 2 weeks ago
- A library of reinforcement learning components and agents☆3,666Updated this week
- Clean PyTorch implementations of imitation and reward learning algorithms☆1,479Updated 4 months ago
- A toolkit for reproducible reinforcement learning research.☆1,968Updated 2 years ago
- A collection of reference environments for offline reinforcement learning☆1,480Updated 5 months ago
- Reinforcement Learning in PyTorch☆2,250Updated 4 years ago
- An educational resource to help anyone learn deep reinforcement learning.☆10,854Updated 9 months ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,225Updated last month
- A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-par…☆962Updated 7 months ago
- Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.☆2,554Updated last year
- Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code☆585Updated last month
- PyTorch implementations of deep reinforcement learning algorithms and environments☆5,791Updated 9 months ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,294Updated last year
- PFRL: a PyTorch-based deep reinforcement learning library☆1,226Updated 9 months ago
- Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆2,541Updated last year
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,173Updated 2 years ago