clvrai / awesome-rl-envs
☆1,143Updated 9 months ago
Alternatives and similar repositories for awesome-rl-envs:
Users that are interested in awesome-rl-envs are comparing it to the libraries listed below
- A collection of reference environments for offline reinforcement learning☆1,442Updated 4 months ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,196Updated last week
- A curated list of awesome Deep Reinforcement Learning resources.☆735Updated 7 months ago
- RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code☆675Updated 10 months ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,275Updated last year
- Library for Model Based RL☆987Updated 8 months ago
- Clean PyTorch implementations of imitation and reward learning algorithms☆1,440Updated 2 months ago
- Python library for Reinforcement Learning.☆861Updated last month
- Imitation learning algorithms☆505Updated 7 months ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆741Updated last year
- Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.☆846Updated 3 years ago
- PyTorch implementation of soft actor critic☆860Updated 3 years ago
- A collection of MARL benchmarks based on TorchRL☆360Updated 3 weeks ago
- The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization☆725Updated last year
- JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.☆668Updated 2 years ago
- Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code☆566Updated 2 weeks ago
- Simple and easily configurable grid world environments for reinforcement learning☆2,195Updated last month
- PyTorch implementation of Soft Actor-Critic (SAC)☆532Updated 3 years ago
- A collection of robotics simulation environments for reinforcement learning☆643Updated 2 months ago
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆582Updated 5 months ago
- Soft Actor-Critic☆1,056Updated last year
- Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆294Updated last year
- A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities☆362Updated this week
- Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.☆901Updated 2 months ago
- A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents include…☆2,308Updated this week
- Dream to Control: Learning Behaviors by Latent Imagination☆526Updated 3 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆696Updated 2 years ago
- Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019☆642Updated last year
- Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning☆1,381Updated this week
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,160Updated 2 years ago