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A Further Related Work Inverse Reinforcement Learning Inverse reinforcement learning (IRL) is a reward learning technique in which the agent infers a reward function given behavioral samples from an optimal policy [Ng, Russell · 2000

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cs.AI 1

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2023 1

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Active teacher selection for reward learning

cs.AI · 2023-10-23 · unverdicted · novelty 6.0

The Hidden Utility Bandit (HUB) framework models teacher heterogeneity in reward learning and supports active teacher selection algorithms that outperform baselines in paper recommendation and COVID-19 vaccine testing domains.

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  • Active teacher selection for reward learning cs.AI · 2023-10-23 · unverdicted · none · ref 12

    The Hidden Utility Bandit (HUB) framework models teacher heterogeneity in reward learning and supports active teacher selection algorithms that outperform baselines in paper recommendation and COVID-19 vaccine testing domains.