araffin / rl-tutorial-jnrr19
Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019
☆656Updated last year
Alternatives and similar repositories for rl-tutorial-jnrr19:
Users that are interested in rl-tutorial-jnrr19 are comparing it to the libraries listed below
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,287Updated last year
- Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code☆575Updated 2 weeks ago
- A collection of reference environments for offline reinforcement learning☆1,463Updated 4 months ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,166Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,211Updated last month
- ☆1,159Updated 10 months ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆745Updated last year
- Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆296Updated last year
- PyTorch implementation of soft actor critic☆871Updated 3 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆488Updated 2 years ago
- A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents include…☆2,356Updated last week
- Imitation learning algorithms☆512Updated 3 weeks ago
- Colab notebooks part of the documentation of Stable Baselines reinforcement learning library☆218Updated 2 months ago
- Soft Actor-Critic☆1,063Updated last year
- Library for Model Based RL☆994Updated 9 months ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆538Updated 3 years ago
- Code for conservative Q-learning☆431Updated 3 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆625Updated 4 years ago
- Clean PyTorch implementations of imitation and reward learning algorithms☆1,461Updated 3 months ago
- Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.☆848Updated 3 years ago
- TensorFlow2 Reinforcement Learning☆473Updated 3 years ago
- RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code☆680Updated 11 months ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆1,840Updated last year
- Prioritized Experience Replay (PER) implementation in PyTorch☆332Updated 5 years ago
- Collection of reinforcement learning algorithms☆2,643Updated 9 months ago
- Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.☆911Updated 3 months ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,065Updated 3 years ago
- Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games☆548Updated last year
- A curated list of awesome Deep Reinforcement Learning resources.☆745Updated 8 months ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆699Updated 2 years ago