Download
EnvPool is a fast, asynchronous, and parallel RL environment library designed for scaling reinforcement learning experiments. Developed by SAIL at Singapore, it leverages C++ backend and Python frontend for extremely high-speed environment interaction, supporting thousands of environments running in parallel on a single machine. It's compatible with Gymnasium API and RLlib, making it suitable for scalable training pipelines.
Features
- Supports highly parallelized RL environment execution
- Uses C++ backend for ultra-fast simulation
- Compatible with Gym/Gymnasium and RLlib APIs
- Asynchronous stepping and reset for better throughput
- Supports a variety of classic control, Atari, and custom environments
- Easy integration with existing RL libraries for training
Project Samples
Categories
Reinforcement Learning LibrariesLicense
Apache License V2.0Follow EnvPool
Other Useful Business Software
Project Planning and Management Software | Planview
Planview® Portfolios enables enterprises to accelerate strategic execution by seamlessly integrating business and technology planning, optimizing resources, and leveraging the power of embedded AI — Planview Anvi™ — to deliver breakthrough products, services, and customer experiences. This unified approach aligns strategy with execution, driving enhanced business performance across the organization.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of EnvPool!
