kengz / awesome-deep-rlLinks
A curated list of awesome Deep Reinforcement Learning resources.
☆840Updated 4 months ago
Alternatives and similar repositories for awesome-deep-rl
Users that are interested in awesome-deep-rl are comparing it to the libraries listed below
Sorting:
- ☆1,295Updated last year
- Library for Model Based RL☆1,035Updated last year
- Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019☆718Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,317Updated 8 months ago
- [NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.☆856Updated last year
- Great resources for making Reinforcement Learning work in Real Life situations. Papers,projects and more.☆435Updated 3 years ago
- The RL discord wiki☆257Updated 5 years ago
- A collection of reference environments for offline reinforcement learning☆1,618Updated last year
- Python library for Reinforcement Learning.☆916Updated 4 months ago
- Related papers for reinforcement learning, including classic papers and latest papers in top conferences☆504Updated 3 weeks ago
- RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code☆703Updated last year
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,190Updated 3 years ago
- Imitation learning algorithms☆554Updated 8 months ago
- DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (…☆490Updated last year
- Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary h…☆850Updated last week
- Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆305Updated 2 years ago
- 🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX☆860Updated last week
- Colab notebooks part of the documentation of Stable Baselines reinforcement learning library☆243Updated 10 months ago
- JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.☆734Updated 3 years ago
- A toolkit for reproducible reinforcement learning research.☆2,052Updated 2 years ago
- A PyTorch library for building deep reinforcement learning agents.☆654Updated last year
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,372Updated 2 years ago
- Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code☆675Updated last month
- High throughput synchronous and asynchronous reinforcement learning☆958Updated 3 weeks ago
- Notes and exercise solutions for second edition of Sutton & Barto's book☆399Updated 3 years ago
- A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities☆463Updated last week
- Solutions to exercises in Reinforcement Learning: An Introduction (2nd Edition).☆394Updated 2 years ago
- Tools for accelerating safe exploration research.☆573Updated 2 years ago
- Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...☆420Updated 4 years ago
- An index of algorithms for offline reinforcement learning (offline-rl)☆1,041Updated last year