Thompson Sampling is Asymptotically Optimal in General Environments

Thompson Sampling is Asymptotically Optimal in General Environments

25 February 2016

Marcus Hutter

Papers citing "Thompson Sampling is Asymptotically Optimal in General Environments"

7 / 7 papers shown

Title
On the Convergence of Bounded Agents David Abel André Barreto Hado van Hasselt Benjamin Van Roy Doina Precup Satinder Singh 45 4 0 20 Jul 2023
Cost Aware Asynchronous Multi-Agent Active Search Arundhati Banerjee Ramina Ghods J. Schneider 41 0 0 05 Oct 2022
Randomized Prior Functions for Deep Reinforcement Learning Ian Osband John Aslanides Albin Cassirer UQCV BDL 32 373 0 08 Jun 2018
Taming Non-stationary Bandits: A Bayesian Approach Vishnu Raj Sheetal Kalyani 43 76 0 31 Jul 2017
Universal Reinforcement Learning Algorithms: Survey and Experiments John Aslanides Jan Leike Marcus Hutter OffRL 39 19 0 30 May 2017
Nonparametric General Reinforcement Learning Jan Leike OffRL 46 26 0 28 Nov 2016
Unifying Count-Based Exploration and Intrinsic Motivation Marc G. Bellemare S. Srinivasan Georg Ostrovski Tom Schaul D. Saxton Rémi Munos 75 1,462 0 06 Jun 2016