skrl: Modular and Flexible Library for Reinforcement Learning

• URL: http://arxiv.org/abs/2202.03825v1
• Date: Tue, 8 Feb 2022 12:43:31 GMT
• Title: skrl: Modular and Flexible Library for Reinforcement Learning
• Authors: Antonio Serrano-Mu\~noz, Nestor Arana-Arexolaleiba, Dimitrios Chrysostomou and Simon B{\o}gh
• Abstract summary: skrl is an open-source modular library for reinforcement learning written in Python. It allows loading, configuring, and operating NVIDIA Isaac Gym environments.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: 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, configuring, 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 url{https://github.com/Toni-SM/skrl.

Related papers

• PufferLib: Making Reinforcement Learning Libraries and Environments Play Nice [0.8702432681310401]
  PufferLib provides one-line environment wrappers that eliminate common compatibility problems. With PufferLib, you can use familiar libraries like CleanRL and SB3 to scale from classic benchmarks like Atari and Procgen to complex simulators like NetHack and Neural MMO. All of our code is free and open-source software under the MIT license.
  arXiv  Detail & Related papers  (2024-06-11T21:13:34Z)
• pyvene: A Library for Understanding and Improving PyTorch Models via Interventions [79.72930339711478]
  $textbfpyvene$ is an open-source library that supports customizable interventions on a range of different PyTorch modules. We show how $textbfpyvene$ provides a unified framework for performing interventions on neural models and sharing the intervened upon models with others.
  arXiv  Detail & Related papers  (2024-03-12T16:46:54Z)
• XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library [18.603206638756056]
  XuanCe is a comprehensive and unified deep reinforcement learning (DRL) library. XuanCe offers a wide range of functionalities, including over 40 classical DRL and multi-agent DRL algorithms. XuanCe is open-source and can be accessed at https://agi-brain.com/agi-brain/xuance.git.
  arXiv  Detail & Related papers  (2023-12-25T14:45:39Z)
• Causal-learn: Causal Discovery in Python [53.17423883919072]
  Causal discovery aims at revealing causal relations from observational data. $textitcausal-learn$ is an open-source Python library for causal discovery.
  arXiv  Detail & Related papers  (2023-07-31T05:00:35Z)
• CodeTF: One-stop Transformer Library for State-of-the-art Code LLM [72.1638273937025]
  We present CodeTF, an open-source Transformer-based library for state-of-the-art Code LLMs and code intelligence. Our library supports a collection of pretrained Code LLM models and popular code benchmarks. We hope CodeTF is able to bridge the gap between machine learning/generative AI and software engineering.
  arXiv  Detail & Related papers  (2023-05-31T05:24:48Z)
• SequeL: A Continual Learning Library in PyTorch and JAX [50.33956216274694]
  SequeL is a library for Continual Learning that supports both PyTorch and JAX frameworks. It provides a unified interface for a wide range of Continual Learning algorithms, including regularization-based approaches, replay-based approaches, and hybrid approaches. We release SequeL as an open-source library, enabling researchers and developers to easily experiment and extend the library for their own purposes.
  arXiv  Detail & Related papers  (2023-04-21T10:00:22Z)
• Repro: An Open-Source Library for Improving the Reproducibility and Usability of Publicly Available Research Code [74.28810048824519]
  Repro is an open-source library which aims at improving the usability of research code. It provides a lightweight Python API for running software released by researchers within Docker containers.
  arXiv  Detail & Related papers  (2022-04-29T01:54:54Z)
• ReservoirComputing.jl: An Efficient and Modular Library for Reservoir Computing Models [0.17499351967216337]
  ReservoirComputing.jl is an open source Julia library for reservoir computing models. The code and documentation are hosted on Github under an MIT license.
  arXiv  Detail & Related papers  (2022-04-08T13:33:09Z)
• IMBENS: Ensemble Class-imbalanced Learning in Python [26.007498723608155]
  imbens is an open-source Python toolbox for implementing and deploying ensemble learning algorithms on class-imbalanced data. imbens is released under the MIT open-source license and can be installed from Python Package Index (PyPI)
  arXiv  Detail & Related papers  (2021-11-24T20:14:20Z)
• Solo-learn: A Library of Self-supervised Methods for Visual Representation Learning [83.02597612195966]
  solo-learn is a library of self-supervised methods for visual representation learning. Implemented in Python, using Pytorch and Pytorch lightning, the library fits both research and industry needs.
  arXiv  Detail & Related papers  (2021-08-03T22:19:55Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.