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
Build Agents and Models on One Platform
Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of CORL!
