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13:53
YouTube
Jacob Schrum
State and Action Values in a Grid World: A Policy for a Reinforcement Learning Agent
** Apologies for the low volume. Just turn it up ** This video uses a grid world example to set up the idea of an agent following a policy and receiving rewards in a sequential decision making task, also known as a Reinforcement Learning problem. Although there is no learning agent yet in this video, the concepts of state values (utility) and Q ...
89.9K views
Aug 6, 2015
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