No-regret Exploration in Contextual Reinforcement Learning

v1v2v3 (latest)

No-regret Exploration in Contextual Reinforcement Learning

14 March 2019

ArXiv (abs)PDF HTML

Papers citing "No-regret Exploration in Contextual Reinforcement Learning"

12 / 12 papers shown

Title
Sample Complexity of Reinforcement Learning using Linearly Combined Model Ensembles Aditya Modi Nan Jiang Ambuj Tewari Satinder Singh 70 132 0 23 Oct 2019
Policy Certificates: Towards Accountable Reinforcement Learning Christoph Dann Ashutosh Adhikari Wei Wei Jimmy J. Lin OffRL 143 146 0 07 Nov 2018
Efficient online algorithms for fast-rate regret bounds under sparsity Pierre Gaillard Olivier Wintenberger 33 10 0 23 May 2018
Logistic Regression: The Importance of Being Improper Dylan J. Foster Satyen Kale Haipeng Luo M. Mohri Karthik Sridharan 59 78 0 25 Mar 2018
Markov Decision Processes with Continuous Side Information Aditya Modi Nan Jiang Satinder Singh Ambuj Tewari OffRL 68 62 0 15 Nov 2017
Scalable Generalized Linear Bandits: Online Computation and Hashing Kwang-Sung Jun Aniruddha Bhargava Robert D. Nowak Rebecca Willett 96 126 0 01 Jun 2017
Minimax Regret Bounds for Reinforcement Learning M. G. Azar Ian Osband Rémi Munos 95 778 0 16 Mar 2017
Provably Optimal Algorithms for Generalized Linear Contextual Bandits Lihong Li Yu Lu Dengyong Zhou 170 94 0 28 Feb 2017
On Lower Bounds for Regret in Reinforcement Learning Ian Osband Benjamin Van Roy 85 101 0 09 Aug 2016
Online Stochastic Linear Optimization under One-bit Feedback Lijun Zhang Tianbao Yang Rong Jin Zhi Zhou 60 66 0 25 Sep 2015
Contextual Markov Decision Processes Assaf Hallak Dotan Di Castro Shie Mannor 93 248 0 08 Feb 2015
Online learning in MDPs with side information Yasin Abbasi-Yadkori Gergely Neu OffRL 66 18 0 26 Jun 2014