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Explaining Bayesian optimization by Shapley values facilitates human-ai collaboration
Bayesian optimization (BO) with Gaussian processes (GP) has become an indispensable
algorithm for black box optimization problems. Not without a dash of irony, BO is often …
algorithm for black box optimization problems. Not without a dash of irony, BO is often …
[HTML][HTML] Human-algorithm collaborative Bayesian optimization for engineering systems
Bayesian optimization has proven effective for optimizing expensive-to-evaluate functions in
Chemical Engineering. However, valuable physical insights from domain experts are often …
Chemical Engineering. However, valuable physical insights from domain experts are often …
[HTML][HTML] Adaptive optimisation of explosive reactive armour for protection against kinetic energy and shaped charge threats
We evaluate an adaptive optimisation methodology, Bayesian optimisation (BO), for
designing a minimum weight explosive reactive armour (ERA) for protection against a …
designing a minimum weight explosive reactive armour (ERA) for protection against a …
Hr-bandit: Human-ai collaborated linear recourse bandit
Human doctors frequently recommend actionable recourses that allow patients to modify
their conditions to access more effective treatments. Inspired by such healthcare scenarios …
their conditions to access more effective treatments. Inspired by such healthcare scenarios …
RL-HAT: A New Framework for Understanding Human-Agent Teaming
This paper presents a novel framework for human-agent teaming grounded in the principles
of Reinforcement Learning (RL). Recognizing the need for a unified language across …
of Reinforcement Learning (RL). Recognizing the need for a unified language across …