Online Model Selection for Reinforcement Learning with Function
Approximation

Online Model Selection for Reinforcement Learning with Function Approximation

19 November 2020

Vidya Muthukumar

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Papers citing "Online Model Selection for Reinforcement Learning with Function Approximation"

16 / 16 papers shown

Title
Budgeted Online Model Selection and Fine-Tuning via Federated Learning P. M. Ghari Yanning Shen FedML 98 2 0 19 Jan 2024
Learning in POMDPs is Sample-Efficient with Hindsight Observability Jonathan Lee Alekh Agarwal Christoph Dann Tong Zhang 65 21 0 31 Jan 2023
Oracle Inequalities for Model Selection in Offline Reinforcement Learning Jonathan Lee George Tucker Ofir Nachum Bo Dai Emma Brunskill OffRL 78 13 0 03 Nov 2022
Scalable Representation Learning in Linear Contextual Bandits with Constant Regret Guarantees Andrea Tirinzoni Matteo Papini Ahmed Touati A. Lazaric Matteo Pirotta 63 4 0 24 Oct 2022
Neural Design for Genetic Perturbation Experiments Aldo Pacchiano Drausin Wulsin Robert A. Barton L. Voloch 80 5 0 26 Jul 2022
Best of Both Worlds Model Selection Aldo Pacchiano Christoph Dann Claudio Gentile 79 10 0 29 Jun 2022
Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning Souradip Chakraborty Amrit Singh Bedi Alec Koppel Brian M. Sadler Furong Huang Pratap Tokekar Tianyi Zhou 76 9 0 02 Jun 2022
Provable Benefits of Representational Transfer in Reinforcement Learning Alekh Agarwal Yuda Song Wen Sun Kaiwen Wang Mengdi Wang Xuezhou Zhang OffRL 99 35 0 29 May 2022
$Breaking the $\sqrt{T}$ Barrier: Instance-Independent Logarithmic Regret in Stochastic Contextual Linear Bandits$ Breaking the $\sqrt{T}$ Barrier: Instance-Independent Logarithmic Regret in Stochastic Contextual Linear Bandits Avishek Ghosh Abishek Sankararaman 47 4 0 19 May 2022
Constraint Sampling Reinforcement Learning: Incorporating Expertise For Faster Learning Tong Mu Georgios Theocharous David Arbour Emma Brunskill 66 6 0 30 Dec 2021
Reinforcement Learning in Linear MDPs: Constant Regret and Representation Selection Matteo Papini Andrea Tirinzoni Aldo Pacchiano Marcello Restelli A. Lazaric Matteo Pirotta 81 19 0 27 Oct 2021
Model Selection for Generic Contextual Bandits Avishek Ghosh Abishek Sankararaman Kannan Ramchandran 73 6 0 07 Jul 2021
Leveraging Good Representations in Linear Contextual Bandits Matteo Papini Andrea Tirinzoni Marcello Restelli A. Lazaric Matteo Pirotta 73 27 0 08 Apr 2021
Model-free Representation Learning and Exploration in Low-rank MDPs Aditya Modi Jinglin Chen A. Krishnamurthy Nan Jiang Alekh Agarwal OffRL 167 81 0 14 Feb 2021
Regret Bound Balancing and Elimination for Model Selection in Bandits and RL Aldo Pacchiano Christoph Dann Claudio Gentile Peter L. Bartlett 95 49 0 24 Dec 2020
Model Selection in Contextual Stochastic Bandit Problems Aldo Pacchiano My Phan Yasin Abbasi-Yadkori Anup B. Rao Julian Zimmert Tor Lattimore Csaba Szepesvári 203 94 0 03 Mar 2020