kengz / awesome-deep-rl
A curated list of awesome Deep Reinforcement Learning resources.
☆740Updated 8 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
- ☆1,152Updated 10 months ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,203Updated 3 weeks ago
- A collection of reference environments for offline reinforcement learning☆1,453Updated 4 months ago
- Library for Model Based RL☆989Updated 8 months ago
- [NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.☆817Updated 7 months ago
- The RL discord wiki☆249Updated 4 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,164Updated 2 years ago
- Related papers for reinforcement learning, including classic papers and latest papers in top conferences☆392Updated last week
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,280Updated last year
- Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019☆648Updated last year
- RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code☆677Updated 10 months ago
- JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.☆670Updated 2 years ago
- Python library for Reinforcement Learning.☆861Updated this week
- A Python interface for reinforcement learning environments☆362Updated 2 years ago
- DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (…☆470Updated 11 months ago
- Great resources for making Reinforcement Learning work in Real Life situations. Papers,projects and more.☆394Updated 2 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆329Updated 5 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆697Updated 2 years ago
- An index of algorithms for offline reinforcement learning (offline-rl)☆972Updated 10 months ago
- A suite of test scenarios for multi-agent reinforcement learning.☆669Updated last week
- A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities☆371Updated last week
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆487Updated 2 years ago
- High throughput synchronous and asynchronous reinforcement learning☆886Updated 3 months ago
- Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code☆566Updated this week
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,181Updated 4 years ago
- The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization☆737Updated last year
- Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.☆907Updated 3 months ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆688Updated last year
- Imitation learning algorithms☆507Updated last week
- Simple and easily configurable grid world environments for reinforcement learning☆2,204Updated last month