ContextualEpochGreedyPolicy: Policy: A Time and Space Efficient Algorithm for Contextual...
In Nth-iteration-labs/contextual: Simulation and Analysis of Contextual Multi-Armed Bandit Policies
Description
Policy: A Time and Space Efficient Algorithm for Contextual Linear Bandits
Usage
1
policy <- ContextualEpochGreedyPolicy$new(sZl = 10)
See Also
Core contextual classes: Bandit, Policy, Simulator,
Agent, History, Plot
Bandit subclass examples: BasicBernoulliBandit, ContextualLogitBandit,
OfflineReplayEvaluatorBandit
Policy subclass examples: EpsilonGreedyPolicy, ContextualLinTSPolicy
Nth-iteration-labs/contextual documentation built on July 28, 2020, 1:13 p.m.
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Description
Policy: A Time and Space Efficient Algorithm for Contextual Linear Bandits
Usage
1 | policy <- ContextualEpochGreedyPolicy$new(sZl = 10)
|
See Also
Core contextual classes: Bandit, Policy, Simulator,
Agent, History, Plot
Bandit subclass examples: BasicBernoulliBandit, ContextualLogitBandit,
OfflineReplayEvaluatorBandit
Policy subclass examples: EpsilonGreedyPolicy, ContextualLinTSPolicy
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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