experienceReplay {ReinforcementLearning} | R Documentation |
Performs experience replay
Description
Deprecated. Please use [ReinforcementLearning::replayExperience()] instead.
Usage
experienceReplay(D, Q, control, ...)
Arguments
D |
A |
Q |
Existing state-action table of type |
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
[Package ReinforcementLearning version 1.0.5 Index]