Download
CORL (Collection of Reinforcement Learning Environments for Control Tasks) is a modular and extensible set of high-quality reinforcement learning environments focused on continuous control and robotics. It aims to offer standardized environments suitable for benchmarking state-of-the-art RL algorithms in control tasks, including physics-based simulations and custom-designed scenarios.
Features
- Collection of continuous control and robotics-focused environments
- Designed for benchmarking and testing RL algorithms
- Supports Gym and Gymnasium API standards for easy integration
- Provides physics-based environments using MuJoCo and Bullet
- Includes simple and complex tasks from balancing to locomotion
- Extensible for creating custom control environments
Project Samples
Categories
Reinforcement Learning LibrariesLicense
Apache License V2.0Follow CORL
Other Useful Business Software
Custom VMs From 1 to 96 vCPUs With 99.95% Uptime
Live migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of CORL!
