This is the Linux app named EnvPool whose latest release can be downloaded as v1.1.0sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS:
EnvPool
DESCRIPTION:
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
Programming Language
C++
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/envpool.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.