2026-04-07T13:34:34Zhttps://ebiltegia.mondragon.edu/oai/request

oai:ebiltegia.mondragon.edu:20.500.11984/56022024-03-01T13:39:03Zcom_20.500.11984_473col_20.500.11984_478

00925njm 22002777a 4500 dc Arana-Arexolaleiba, Nestor author 2022 skrl is an open-source modular library for reinforcement learning written in Python and designed with a focus on readability, simplicity, and transparency of algorithm implementations. Apart from supporting environments that use the traditional OpenAI Gym interface, it allows loading, con guring, and operating NVIDIA Isaac Gym environments, enabling the parallel training of several agents with adjustable scopes, which may or may not share resources, in the same execution. The library's documentation can be found at https://skrl.readthedocs.io and its source code is available on GitHub at https://github.com/Toni-SM/skrl. 2331-8422 https://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=167319 https://hdl.handle.net/20.500.11984/5602 reinforcement learning library open source software skrl: Modular and Flexible Library for Reinforcement Learning