getReward: Check for Reward Outcome
In jdtrat/dynaq: Tools to Simulate DynaQ Reinforcement Learning Algorithms
Description
Usage
Arguments
Value
Description
the getReward function determines whether a reward is delivered (1) or not
(0) based off of a binary payoff with probability either 0.2 or 0.8 that
have, on each trial, a little bit of gaussian noise following the normal
distribution with mean 0 and SD 0.025. See updateRewardProb
Usage
1
Arguments
state
The state, or image, for which a reward might be received.
Value
Binary reward (1 or 0) based off of the relevant state probability.
jdtrat/dynaq documentation built on July 24, 2020, 7:18 a.m.
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Description Usage Arguments Value
Description
the getReward function determines whether a reward is delivered (1) or not
(0) based off of a binary payoff with probability either 0.2 or 0.8 that
have, on each trial, a little bit of gaussian noise following the normal
distribution with mean 0 and SD 0.025. See updateRewardProb
Usage
1 |
Arguments
state |
The state, or image, for which a reward might be received. |
Value
Binary reward (1 or 0) based off of the relevant state probability.
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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