Regret Balancing for Bandit and RL Model Selection

9 June 2020

Papers citing "Regret Balancing for Bandit and RL Model Selection"

6 / 6 papers shown

Title
A Blackbox Approach to Best of Both Worlds in Bandits and Beyond Christoph Dann Chen-Yu Wei Julian Zimmert 24 22 0 20 Feb 2023
Scalable Representation Learning in Linear Contextual Bandits with Constant Regret Guarantees Andrea Tirinzoni Matteo Papini Ahmed Touati A. Lazaric Matteo Pirotta 28 4 0 24 Oct 2022
Best of Both Worlds Model Selection Aldo Pacchiano Christoph Dann Claudio Gentile 26 10 0 29 Jun 2022
Provably Efficient Representation Selection in Low-rank Markov Decision Processes: From Online to Offline RL Weitong Zhang Jiafan He Dongruo Zhou Amy Zhang Quanquan Gu OffRL 22 11 0 22 Jun 2021
Leveraging Good Representations in Linear Contextual Bandits Matteo Papini Andrea Tirinzoni Marcello Restelli A. Lazaric Matteo Pirotta 30 26 0 08 Apr 2021
Provably Efficient Reinforcement Learning with Linear Function Approximation Under Adaptivity Constraints Chi Jin Zhuoran Yang Zhaoran Wang OffRL 122 166 0 06 Jan 2021