experienceReplay: Performs experience replay

In nproellochs/ReinforcementLearning: Model-Free Reinforcement Learning

Description

Deprecated. Please use [ReinforcementLearning::replayExperience()] instead.

Usage

experienceReplay(D, Q, control, ...)

Arguments

D	A dataframe containing the input data for reinforcement learning. Each row represents a state transition tuple (s,a,r,s_new).
Q	Existing state-action table of type hash.
control	Control parameters defining the behavior of the agent.
...	Additional parameters passed to function.

Value

Returns an object of class hash that contains the learned Q-table.

References

Lin (1992). "Self-Improving Reactive Agents Based on Reinforcement Learning, Planning and Teaching", Machine Learning (8:3), pp. 293–321.

Watkins (1992). "Q-learning". Machine Learning (8:3), pp. 279–292.

See Also

ReinforcementLearning

nproellochs/ReinforcementLearning documentation built on March 3, 2020, 12:22 a.m.