Active Exploration via Experiment Design in Markov Chains

29 June 2022

Papers citing "Active Exploration via Experiment Design in Markov Chains"

11 / 11 papers shown

Title
Geometric Active Exploration in Markov Decision Processes: the Benefit of Abstraction Ric De Santi Federico Arangath Joseph Noah Liniger Mirco Mutti Andreas Krause AI4CE 48 1 0 18 Jul 2024
Global Reinforcement Learning: Beyond Linear and Convex Rewards via Submodular Semi-gradient Methods Ric De Santi Manish Prajapat Andreas Krause 36 3 0 13 Jul 2024
Transition Constrained Bayesian Optimization via Markov Decision Processes Jose Pablo Folch Calvin Tsay Robert M. Lee B. Shafei Weronika Ormaniec Andreas Krause Mark van der Wilk Ruth Misener Mojmír Mutný 54 3 0 13 Feb 2024
Practical Path-based Bayesian Optimization Jose Pablo Folch J. Odgers Shiqiang Zhang Robert M. Lee B. Shafei David Walz Calvin Tsay Mark van der Wilk Ruth Misener 44 2 0 01 Dec 2023
Submodular Reinforcement Learning Manish Prajapat Mojmír Mutný M. Zeilinger Andreas Krause OffRL 30 12 0 25 Jul 2023
Optimistic Active Exploration of Dynamical Systems Bhavya Sukhija Lenart Treven Cansu Sancaktar Sebastian Blaes Stelian Coros Andreas Krause 21 17 0 21 Jun 2023
Cancellation-Free Regret Bounds for Lagrangian Approaches in Constrained Markov Decision Processes A. Müller Pragnya Alatur Giorgia Ramponi Niao He 23 5 0 12 Jun 2023
Reinforcement Learning with General Utilities: Simpler Variance Reduction and Large State-Action Space Anas Barakat Ilyas Fatkhullin Niao He 26 11 0 02 Jun 2023
Instance-Dependent Near-Optimal Policy Identification in Linear MDPs via Online Experiment Design Andrew Wagenmaker Kevin G. Jamieson OffRL 24 24 0 06 Jul 2022
SnAKe: Bayesian Optimization with Pathwise Exploration Jose Pablo Folch Shiqiang Zhang Robert M. Lee B. Shafei David Walz Calvin Tsay Mark van der Wilk Ruth Misener 25 19 0 31 Jan 2022
Provably Efficient Reinforcement Learning with Linear Function Approximation Under Adaptivity Constraints Chi Jin Zhuoran Yang Zhaoran Wang OffRL 122 166 0 06 Jan 2021