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02/08/2023
Efficient Planning in Combinatorial Action Spaces with Applications to Cooperative Multi-Agent Reinforcement Learning
A practical challenge in reinforcement learning are combinatorial action...
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02/07/2023
Linear Partial Monitoring for Sequential Decision-Making: Algorithms, Regret Bounds and Applications
Partial monitoring is an expressive framework for sequential decision-ma...
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03/26/2022
Tuning Particle Accelerators with Safety Constraints using Bayesian Optimization
Tuning machine parameters of particle accelerators is a repetitive and t...
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05/25/2021
Bias-Robust Bayesian Optimization via Dueling Bandit
We consider Bayesian optimization in settings where observations can be ...
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01/21/2021
Efficient Pure Exploration for Combinatorial Bandits with Semi-Bandit Feedback
Combinatorial bandits with semi-bandit feedback generalize multi-armed b...
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11/11/2020
Asymptotically Optimal Information-Directed Sampling
We introduce a computationally efficient algorithm for finite stochastic...
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02/25/2020
Information Directed Sampling for Linear Partial Monitoring
Partial monitoring is a rich framework for sequential decision making un...
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02/20/2020
Distributionally Robust Bayesian Optimization
Robustness to distributional shift is one of the key challenges of conte...
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06/06/2019
Stochastic Bandits with Context Distributions
We introduce a novel stochastic contextual bandit model, where at each s...
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02/08/2019
Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces
Bayesian optimization is known to be difficult to scale to high dimensio...
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12/18/2018
Information-Directed Exploration for Deep Reinforcement Learning
Efficient exploration remains a major challenge for reinforcement learni...
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01/29/2018