Module: tf_agents.bandits.agents.neural_falcon_agent
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A neural network based agent that implements Falcon exploration.
The policy samples actions with the action distribution proposed in the
FALCON paper: David Simchi-Levi and Yunzong Xu, "Bypassing the Monster: A Faster
and Simpler Optimal Algorithm for Contextual Bandits under Realizability",
Mathematics of Operations Research, 2021. https://arxiv.org/pdf/2003.12699.pdf
Classes
class NeuralFalconAgent: A neural network based agent implementing the Falcon sampling strategy.
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Last updated 2024-04-26 UTC.
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