Personalized HeartSteps: A Reinforcement Learning Algorithm for
Optimizing Physical Activity

Personalized HeartSteps: A Reinforcement Learning Algorithm for Optimizing Physical Activity

8 September 2019

Kristjan Greenewald

ArXiv (abs)PDF HTML

Papers citing "Personalized HeartSteps: A Reinforcement Learning Algorithm for Optimizing Physical Activity"

17 / 17 papers shown

Title
Mitigating Planner Overfitting in Model-Based Reinforcement Learning Dilip Arumugam David Abel Kavosh Asadi N. Gopalan Christopher Grimm Jun Ki Lee Lucas Lehnert Michael L. Littman 43 11 0 03 Dec 2018
Semiparametric Contextual Bandits A. Krishnamurthy Zhiwei Steven Wu Vasilis Syrgkanis 124 45 0 12 Mar 2018
Estimation Considerations in Contextual Bandits Maria Dimakopoulou Zhengyuan Zhou Susan Athey Guido Imbens 288 70 0 19 Nov 2017
Learning Unknown Markov Decision Processes: A Thompson Sampling Approach Ouyang Yi Mukul Gagrani A. Nayyar R. Jain 51 128 0 14 Sep 2017
Non-Stationary Bandits with Habituation and Recovery Dynamics Yonatan Dov Mintz A. Aswani Philip M. Kaminsky E. Flowers Yoshimi Fukuoka 193 57 0 26 Jul 2017
On Optimistic versus Randomized Exploration in Reinforcement Learning Ian Osband Benjamin Van Roy 48 12 0 13 Jun 2017
Misspecified Linear Bandits Avishek Ghosh Sayak Ray Chowdhury Aditya Gopalan 70 67 0 23 Apr 2017
Why is Posterior Sampling Better than Optimism for Reinforcement Learning? Ian Osband Benjamin Van Roy BDL 91 261 0 01 Jul 2016
A Reinforcement Learning System to Encourage Physical Activity in Diabetes Patients I. Hochberg G. Feraru Mark Kozdoba Shie Mannor Moshe Tennenholtz E. Yom-Tov 61 170 0 13 May 2016
Data-Efficient Off-Policy Policy Evaluation for Reinforcement Learning Philip S. Thomas Emma Brunskill OffRL 432 577 0 04 Apr 2016
How to Discount Deep Reinforcement Learning: Towards New Dynamic Strategies Vincent François-Lavet R. Fonteneau D. Ernst 68 111 0 07 Dec 2015
Doubly Robust Off-policy Value Evaluation for Reinforcement Learning Nan Jiang Lihong Li OffRL 220 624 0 11 Nov 2015
(More) Efficient Reinforcement Learning via Posterior Sampling Ian Osband Daniel Russo Benjamin Van Roy 144 535 0 04 Jun 2013
Learning to Optimize Via Posterior Sampling Daniel Russo Benjamin Van Roy 231 703 0 11 Jan 2013
Thompson Sampling for Contextual Bandits with Linear Payoffs Shipra Agrawal Navin Goyal 207 1,006 0 15 Sep 2012
Thompson Sampling: An Asymptotically Optimal Finite Time Analysis E. Kaufmann N. Korda Rémi Munos 179 588 0 18 May 2012
A Contextual-Bandit Approach to Personalized News Article Recommendation Lihong Li Wei Chu John Langford Robert Schapire 473 2,958 0 28 Feb 2010

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.