clvrai / awesome-rl-envs
☆1,040Updated 3 months ago
Related projects: ⓘ
- A collection of reference environments for offline reinforcement learning☆1,290Updated 7 months ago
- RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code☆643Updated 4 months ago
- A curated list of awesome Deep Reinforcement Learning resources.☆659Updated last month
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,074Updated 9 months ago
- Clean PyTorch implementations of imitation and reward learning algorithms☆1,271Updated last month
- Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.☆823Updated 2 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,197Updated 9 months ago
- Python library for Reinforcement Learning.☆803Updated 2 weeks ago
- Imitation learning algorithms☆437Updated last month
- Library for Model Based RL☆953Updated 2 months ago
- A collection of multi agent environments based on OpenAI gym.☆553Updated 2 months ago
- JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.☆607Updated last year
- Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning☆1,220Updated last month
- Simple and easily configurable grid world environments for reinforcement learning☆2,082Updated 2 weeks ago
- Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019☆599Updated last year
- Dream to Control: Learning Behaviors by Latent Imagination☆506Updated 3 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆492Updated 2 years ago
- Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...☆397Updated 3 years ago
- The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization☆611Updated 5 months ago
- A collection of robotics simulation environments for reinforcement learning☆522Updated 2 weeks ago
- High throughput synchronous and asynchronous reinforcement learning☆795Updated 2 weeks ago
- PyTorch implementation of soft actor critic☆796Updated 2 years ago
- Modular reinforcement learning library (on PyTorch and JAX) with support for NVIDIA Isaac Gym, Omniverse Isaac Gym and Isaac Lab☆506Updated this week
- Tools for accelerating safe exploration research.☆493Updated last year
- [NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.☆744Updated last month
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆475Updated last year
- This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.☆392Updated 2 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆666Updated 2 years ago
- Simple and easily configurable 3D FPS-game-like environments for reinforcement learning☆694Updated 2 weeks ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,125Updated last year