choice: Choose an Action
In jdtrat/dynaq: Tools to Simulate DynaQ Reinforcement Learning Algorithms
Description
Usage
Arguments
Value
Description
Choose an Action
Usage
1
Arguments
state
The state the agent is currently in.
epsilon
The epsilon to be used in epsilon-greedy policy choices.
tau
The tau (temperature) to be used in softmax policy choices.
softmax
Logical: TRUE if softmax policy decisions should be used;
FALSE if epsilon-greedy policy decisions should be used. By default,
softmax is used.
Value
A string depicting an action (left or right) to take in the current
state.
jdtrat/dynaq documentation built on July 24, 2020, 7:18 a.m.
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Description Usage Arguments Value
Description
Choose an Action
Usage
1 |
Arguments
state |
The state the agent is currently in. |
epsilon |
The epsilon to be used in epsilon-greedy policy choices. |
tau |
The tau (temperature) to be used in softmax policy choices. |
softmax |
Logical: TRUE if softmax policy decisions should be used; FALSE if epsilon-greedy policy decisions should be used. By default, softmax is used. |
Value
A string depicting an action (left or right) to take in the current state.
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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