［原著］Reinforcement Learning, Second Edition: An Introduction (The MIT Press, 2018)
作者简介
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Richard S. Sutton is Professor of Computing Science and AITF Chair in Reinforcement Learning and Artificial Intelligence at the University of Alberta, and also Distinguished Research Scientist at DeepMind.
Newcomers to reinforcement learning are sometimes surprised that the rewards -- which define of the goal of learning -- are computed in the environment rather than in the agent. Certainly most ultimate goals for animals are recognized by computations occuring inside their body: by sensors for recognizing food, hunger, pain and pleasure. Nevertheless, as we discussed in the previous section, one can redraw the agent-environment interface in such a way that these parts of the body are considered to be outside of the agent. ... For our purpose, it is convenient to place the boundary of the learning agent not at the limit of its physical body, but at the limit of its control. (查看原文)
James
The MIT Press1998版
小波门下行走
A Bradford Book2018版
还没人写过短评呢
还没人写过短评呢