September 2018
Intermediate to advanced
288 pages
7h 38m
English
book
Keras Reinforcement Learning Projects
by Giuseppe Ciaburro, Sudharsan Ravichandiran, Suriyadeepan Ramamoorthy
Content preview from Keras Reinforcement Learning Projects
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Temporal difference learning
TD learning algorithms are based on reducing the differences between estimates made by the agent at different times. TD algorithms try to predict a quantity that depends on the future values of a given signal. Its name derives from the differences used in predictions on successive time steps to guide the learning process. The prediction at any time is updated to bring it closer to the prediction of the same quantity at the next time step. In reinforcement learning, they are used to predict a measure of the total amount of reward expected in the future.
It is a combination of the ideas of the MC method and the DP.
MC methods allow solving reinforcement learning problems based on the average of the results obtained. ...
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