Shapechanger: Environments for Transfer Learning

September 15, 2017 · Entered Twilight · 🏛 arXiv.org

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Repo contents: .gitignore, LICENSE, Makefile, README.md, driving_data, examples, mj_transfer, model.pth, setup.py, web

Authors Sébastien M. R. Arnold, Tsam Kiu Pun, Théo-Tim J. Denisart, Francisco J. Valero-Cuevas arXiv ID 1709.05070 Category cs.LG: Machine Learning Cross-listed cs.RO Citations 0 Venue arXiv.org Repository https://github.com/seba-1511/shapechanger/ ⭐ 11 Last Checked 4 months ago
Abstract
We present Shapechanger, a library for transfer reinforcement learning specifically designed for robotic tasks. We consider three types of knowledge transfer---from simulation to simulation, from simulation to real, and from real to real---and a wide range of tasks with continuous states and actions. Shapechanger is under active development and open-sourced at: https://github.com/seba-1511/shapechanger/.
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