epsilonGreedyActionSelection: Performs \varepsilon-greedy action selection
In nproellochs/ReinforcementLearning: Model-Free Reinforcement Learning
Description
Usage
Arguments
Value
References
View source: R/actionSelection.R
Description
Deprecated. Please use [ReinforcementLearning::selectEpsilonGreedyAction()] instead.
Usage
1
epsilonGreedyActionSelection(Q, state, epsilon)
Arguments
Q
State-action table of type hash.
state
The current state.
epsilon
Exploration rate between 0 and 1.
Value
Character value defining the next action.
References
Sutton and Barto (1998). "Reinforcement Learning: An Introduction", MIT Press, Cambridge, MA.
nproellochs/ReinforcementLearning documentation built on March 3, 2020, 12:22 a.m.
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Description Usage Arguments Value References
View source: R/actionSelection.R
Description
Deprecated. Please use [ReinforcementLearning::selectEpsilonGreedyAction()] instead.
Usage
1 | epsilonGreedyActionSelection(Q, state, epsilon)
|
Arguments
Q |
State-action table of type |
state |
The current state. |
epsilon |
Exploration rate between 0 and 1. |
Value
Character value defining the next action.
References
Sutton and Barto (1998). "Reinforcement Learning: An Introduction", MIT Press, Cambridge, MA.
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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