pfnet / pfrlLinks
PFRL: a PyTorch-based deep reinforcement learning library
☆1,249Updated last year
Alternatives and similar repositories for pfrl
Users that are interested in pfrl are comparing it to the libraries listed below
Sorting:
- An offline deep reinforcement learning library☆1,583Updated 2 months ago
- Reinforcement Learning in PyTorch☆2,267Updated 4 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,257Updated 4 years ago
- Collection of reinforcement learning algorithms☆2,800Updated last year
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,189Updated 3 years ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,305Updated 7 months ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,656Updated 3 years ago
- A collection of reference environments for offline reinforcement learning☆1,600Updated 11 months ago
- A toolkit for reproducible reinforcement learning research.☆2,047Updated 2 years ago
- A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents include…☆2,609Updated 3 weeks ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,360Updated last year
- Library for Model Based RL☆1,029Updated last year
- Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019☆712Updated 2 years ago
- Python library for Reinforcement Learning.☆913Updated 3 months ago
- Clean PyTorch implementations of imitation and reward learning algorithms☆1,623Updated 10 months ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆1,979Updated 2 years ago
- ChainerRL is a deep reinforcement learning library built on top of Chainer.☆1,197Updated 4 years ago
- Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code☆657Updated this week
- PyTorch implementation of soft actor critic☆919Updated 3 months ago
- Python Multi-Agent Reinforcement Learning framework☆2,106Updated 2 years ago
- TensorFlow2 Reinforcement Learning☆476Updated 3 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,078Updated 4 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,847Updated 3 years ago
- Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.☆968Updated 5 months ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,312Updated this week
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆1,993Updated last month
- SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's arch…☆834Updated 2 years ago
- Simple and easily configurable grid world environments for reinforcement learning☆2,351Updated 2 weeks ago
- High throughput synchronous and asynchronous reinforcement learning☆949Updated this week
- Soft Actor-Critic☆1,170Updated last year