DLR-RM / rl-baselines3-zooLinks
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
☆2,685Updated 2 weeks ago
Alternatives and similar repositories for rl-baselines3-zoo
Users that are interested in rl-baselines3-zoo are comparing it to the libraries listed below
Sorting:
- Clean PyTorch implementations of imitation and reward learning algorithms☆1,676Updated last year
- An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities☆3,265Updated last month
- Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code☆686Updated last month
- Collection of reinforcement learning algorithms☆2,843Updated last year
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,324Updated 9 months ago
- A toolkit for reproducible reinforcement learning research.☆2,066Updated 2 years ago
- A collection of reference environments for offline reinforcement learning☆1,631Updated last year
- A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.☆3,246Updated this week
- Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019☆721Updated 2 years ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,319Updated 3 years ago
- PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.☆12,497Updated 3 weeks ago
- The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization☆905Updated last year
- ☆1,307Updated last year
- Simple and easily configurable grid world environments for reinforcement learning☆2,384Updated 3 weeks ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆2,011Updated 2 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,391Updated 2 years ago
- Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch☆2,288Updated last year
- An offline deep reinforcement learning library☆1,623Updated 4 months ago
- A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-par…☆1,190Updated last year
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,193Updated 3 years ago
- High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, T…☆8,780Updated 6 months ago
- Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning☆1,691Updated 2 months ago
- PyTorch implementation of soft actor critic☆931Updated 5 months ago
- Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.☆2,743Updated last year
- High throughput synchronous and asynchronous reinforcement learning☆967Updated last month
- Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.☆987Updated 7 months ago
- A curated list of awesome Deep Reinforcement Learning resources.☆851Updated 5 months ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,871Updated 3 years ago
- PFRL: a PyTorch-based deep reinforcement learning library☆1,256Updated 3 weeks ago
- Library for Model Based RL☆1,041Updated last year