QLearning: Q-Learning
In reinforcelearn: Reinforcement Learning
Description
Arguments
Details
Usage
See Also
Examples
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
1
alg = makeAlgorithm("qlearning", lambda = 0.8, traces = "accumulate")
Example output
reinforcelearn documentation built on May 2, 2019, 9:20 a.m.
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Description Arguments Details Usage See Also Examples
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
1 | alg = makeAlgorithm("qlearning", lambda = 0.8, traces = "accumulate")
|
Example output
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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