QLearning: Q-Learning
In markdumke/reinforceR: Reinforcement Learning
QLearning R Documentation
Q-Learning
Description
Q-Learning algorithm.
Arguments
lambda
[numeric(1) in (0, 1)]
Trace decay parameter.
traces
[character(1)]
Type of eligibility trace update. One of c("replace", "accumulate").
Details
To use eligibility traces specify lambda and traces.
Usage
makeAlgorithm("qlearning", lambda, traces)
See Also
Eligibility
Examples
alg = makeAlgorithm("qlearning", lambda = 0.8, traces = "accumulate")
markdumke/reinforceR documentation built on Nov. 17, 2022, 12:53 a.m.
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| QLearning | R Documentation |
Q-Learning
Description
Q-Learning algorithm.
Arguments
lambda |
[ |
traces |
[ |
Details
To use eligibility traces specify lambda and traces.
Usage
makeAlgorithm("qlearning", lambda, traces)
See Also
Eligibility
Examples
alg = makeAlgorithm("qlearning", lambda = 0.8, traces = "accumulate")
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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