Active Exploration via Experiment Design in Markov Chains

v1v2 (latest)

Active Exploration via Experiment Design in Markov Chains

International Conference on Artificial Intelligence and Statistics (AISTATS), 2022

29 June 2022

ArXiv (abs)PDF HTML

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

12 / 12 papers shown

Title
Provable Maximum Entropy Manifold Exploration via Diffusion Models Riccardo De Santi Marin Vlastelica Ya-Ping Hsieh Zebang Shen Niao He Andreas Krause DiffM 142 5 0 18 Jun 2025
The Catechol Benchmark: Time-series Solvent Selection Data for Few-shot Machine Learning Toby Boyne Juan S. Campos Becky D Langdon Jixiang Qing Yilin Xie ... Kim E. Jelfs Sarah Boyall Thomas M. Dixon Linden Schrecker Jose Pablo Folch 127 1 0 09 Jun 2025
Geometric Active Exploration in Markov Decision Processes: the Benefit of Abstraction Ric De Santi Federico Arangath Joseph Noah Liniger Mirco Mutti Andreas Krause AI4CE 211 3 0 18 Jul 2024
Global Reinforcement Learning: Beyond Linear and Convex Rewards via Submodular Semi-gradient Methods Ric De Santi Manish Prajapat Andreas Krause 197 6 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 311 6 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 174 4 0 01 Dec 2023
Submodular Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2023 Manish Prajapat Mojmír Mutný Melanie Zeilinger Andreas Krause OffRL 225 22 0 25 Jul 2023
Optimistic Active Exploration of Dynamical SystemsNeural Information Processing Systems (NeurIPS), 2023 Bhavya Sukhija Lenart Treven Cansu Sancaktar Sebastian Blaes Stelian Coros Andreas Krause 405 27 0 21 Jun 2023
Cancellation-Free Regret Bounds for Lagrangian Approaches in Constrained Markov Decision Processes A. Müller Pragnya Alatur Giorgia Ramponi Niao He 256 6 0 12 Jun 2023
Reinforcement Learning with General Utilities: Simpler Variance Reduction and Large State-Action SpaceInternational Conference on Machine Learning (ICML), 2023 Anas Barakat Ilyas Fatkhullin Niao He 198 14 0 02 Jun 2023
Instance-Dependent Near-Optimal Policy Identification in Linear MDPs via Online Experiment DesignNeural Information Processing Systems (NeurIPS), 2022 Andrew Wagenmaker Kevin Jamieson OffRL 262 32 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 442 23 0 31 Jan 2022