A batched, concurrent wrapper for OpenAI gym library
Hello HN, new user here, so please let me know if I break some rules. Currently I've been working on training reinforcement learning agents, and OpenAI gym, while is great, runs only one agent at a time. Hence I decided to extend it. I built a wrapper around OpenAI gym, such that it now runs several environments concurrently. All while (mostly) having the same call signature as OpenAI gym. And it is published to PyPI for anyone interested. For more details, please visit: https://github.com/Chimpan-Z/agymc Feedback really appreciated! Have a good day everyone!
A batched, concurrent wrapper for OpenAI gym library launched on January 21, 2020 with 12 votes, #836 of 3,486 launches that month and more than 75% of that year's launches.
In plain words
This is a Python wrapper for OpenAI Gym that enables concurrent execution of multiple reinforcement learning environments simultaneously. It maintains compatibility with OpenAI Gym's standard interface while allowing users to train agents in batches rather than sequentially. The tool is available on PyPI and targets machine learning researchers and practitioners working with reinforcement learning who need faster training across parallel environments.
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