Reinforcement learning from demonstration through shaping. Brys, T, Harutyunyan, A, Suay, H B, & Chernova, S Proceedings of the …, 2015. abstract bibtex Abstract Reinforcement learning describes how a learning agent can achieve optimal behaviour based on interactions with its environment and reward feedback. A limiting factor in reinforcement learning as employed in artificial intelligence is the need for an often.
@Article{Brys2015,
author = {Brys, T and Harutyunyan, A and Suay, H B and Chernova, S},
title = {Reinforcement learning from demonstration through shaping},
journal = {Proceedings of the …},
volume = {},
number = {},
pages = {},
year = {2015},
abstract = {Abstract Reinforcement learning describes how a learning agent can achieve optimal behaviour based on interactions with its environment and reward feedback. A limiting factor in reinforcement learning as employed in artificial intelligence is the need for an often.},
location = {},
keywords = {}}
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