EpsilonGreedyPolicy: Epsilon Greedy Policy
In markdumke/reinforceR: Reinforcement Learning
EpsilonGreedyPolicy R Documentation
Epsilon Greedy Policy
Description
Epsilon Greedy Policy
Arguments
epsilon
[numeric(1) in [0, 1]]
Ratio of random exploration in epsilon-greedy action selection.
Usage
makePolicy("epsilon.greedy", epsilon = 0.1)
makePolicy("greedy")
Examples
policy = makePolicy("epsilon.greedy", epsilon = 0.1)
markdumke/reinforceR documentation built on Nov. 17, 2022, 12:53 a.m.
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| EpsilonGreedyPolicy | R Documentation |
Epsilon Greedy Policy
Description
Epsilon Greedy Policy
Arguments
epsilon |
[ |
Usage
makePolicy("epsilon.greedy", epsilon = 0.1)
makePolicy("greedy")
Examples
policy = makePolicy("epsilon.greedy", epsilon = 0.1)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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