Near-Optimal BRL using Optimistic Local Transitions

18 June 2012

Papers citing "Near-Optimal BRL using Optimistic Local Transitions"

8 / 8 papers shown

Title
Planning to the Information Horizon of BAMDPs via Epistemic State Abstraction Dilip Arumugam Satinder Singh 34 3 0 30 Oct 2022
Why is Posterior Sampling Better than Optimism for Reinforcement Learning? Ian Osband Benjamin Van Roy BDL 19 255 0 01 Jul 2016
Unifying Count-Based Exploration and Intrinsic Motivation Marc G. Bellemare S. Srinivasan Georg Ostrovski Tom Schaul D. Saxton Rémi Munos 55 1,456 0 06 Jun 2016
Bounded Optimal Exploration in MDP Kenji Kawaguchi 16 15 0 05 Apr 2016
Model-based Reinforcement Learning with Parametrized Physical Models and Optimism-Driven Exploration Christopher Xie S. Patil T. Moldovan Sergey Levine Pieter Abbeel 6 48 0 23 Sep 2015
Incentivizing Exploration In Reinforcement Learning With Deep Predictive Models Bradly C. Stadie Sergey Levine Pieter Abbeel 23 501 0 03 Jul 2015
A General Framework for Interacting Bayes-Optimally with Self-Interested Agents using Arbitrary Parametric Model and Model Prior T. Hoang K. H. Low AI4CE 47 13 0 07 Apr 2013
A Greedy Approximation of Bayesian Reinforcement Learning with Probably Optimistic Transition Model Kenji Kawaguchi Mauricio Araya-López 43 6 0 13 Mar 2013