v1v2 (latest)

Finding the Stochastic Shortest Path with Low Regret: The Adversarial Cost and Unknown Transition Case

International Conference on Machine Learning (ICML), 2021

10 February 2021

Liyu Chen

Haipeng Luo

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Papers citing "Finding the Stochastic Shortest Path with Low Regret: The Adversarial Cost and Unknown Transition Case"

31 / 31 papers shown

Title
Stochastic Shortest Path with Sparse Adversarial Costs Emmeran Johnson Alberto Rumi Ciara Pike-Burke Patrick Rebeschini AAML 53 0 0 01 Nov 2025
An Optimistic Algorithm for online CMDPS with Anytime Adversarial Constraints Jiahui Zhu Kihyun Yu Dabeen Lee Xin Liu Honghao Wei 128 0 0 28 May 2025
Decision Making in Hybrid Environments: A Model Aggregation ApproachAnnual Conference Computational Learning Theory (COLT), 2025 Haolin Liu Chen-Yu Wei Julian Zimmert 391 0 0 09 Feb 2025
A Model Selection Approach for Corruption Robust Reinforcement LearningInternational Conference on Algorithmic Learning Theory (ALT), 2021 Chen-Yu Wei Christoph Dann Julian Zimmert 265 48 0 31 Dec 2024
Nearly Minimax Optimal Regret for Learning Linear Mixture Stochastic Shortest Path Qiwei Di Jiafan He Dongruo Zhou Quanquan Gu 126 2 0 14 Feb 2024
Corruption-Robust Offline Reinforcement Learning with General Function ApproximationNeural Information Processing Systems (NeurIPS), 2023 Chen Ye Rui Yang Quanquan Gu Tong Zhang OffRL 340 29 0 23 Oct 2023
Towards Optimal Regret in Adversarial Linear MDPs with Bandit FeedbackInternational Conference on Learning Representations (ICLR), 2023 Haolin Liu Chen-Yu Wei Julian Zimmert 217 8 0 17 Oct 2023
Online Resource Allocation in Episodic Markov Decision Processes Duksang Lee William Overman Dabeen Lee 218 1 0 18 May 2023
Delay-Adapted Policy Optimization and Improved Regret for Adversarial MDP with Delayed Bandit FeedbackInternational Conference on Machine Learning (ICML), 2023 Tal Lancewicki Aviv A. Rosenberg Dmitry Sotnikov 164 3 0 13 May 2023
Layered State Discovery for Incremental Autonomous ExplorationInternational Conference on Machine Learning (ICML), 2023 Liyu Chen Andrea Tirinzoni A. Lazaric Matteo Pirotta 140 0 0 07 Feb 2023
Multi-Agent Congestion Cost Minimization With Linear Function ApproximationsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Prashant Trivedi N. Hemachandra 200 1 0 26 Jan 2023
Corruption-Robust Algorithms with Uncertainty Weighting for Nonlinear Contextual Bandits and Markov Decision ProcessesInternational Conference on Machine Learning (ICML), 2022 Chen Ye Wei Xiong Quanquan Gu Tong Zhang 416 37 0 12 Dec 2022
A Unified Algorithm for Stochastic Path ProblemsInternational Conference on Algorithmic Learning Theory (ALT), 2022 Christoph Dann Chen-Yu Wei Julian Zimmert 127 1 0 17 Oct 2022
Reaching Goals is Hard: Settling the Sample Complexity of the Stochastic Shortest PathInternational Conference on Algorithmic Learning Theory (ALT), 2022 Liyu Chen Andrea Tirinzoni Matteo Pirotta A. Lazaric 135 3 0 10 Oct 2022
Offline Stochastic Shortest Path: Learning, Evaluation and Towards OptimalityConference on Uncertainty in Artificial Intelligence (UAI), 2022 Ming Yin Wenjing Chen Mengdi Wang Yu Wang OffRL 129 6 0 10 Jun 2022
GraphWalks: Efficient Shape Agnostic Geodesic Shortest Path Estimation Rolandos Alexandros Potamias Alexandros Neofytou Kyriaki-Margarita Bintsi Stefanos Zafeiriou 165 14 0 30 May 2022
Near-Optimal Goal-Oriented Reinforcement Learning in Non-Stationary EnvironmentsNeural Information Processing Systems (NeurIPS), 2022 Liyu Chen Haipeng Luo 221 8 0 25 May 2022
Reductive MDPs: A Perspective Beyond Temporal Horizons Thomas Spooner Rui Silva J. Lockhart Jason Long Vacslav Glukhov 111 0 0 15 May 2022
Let's Collaborate: Regret-based Reactive Synthesis for Robotic ManipulationIEEE International Conference on Robotics and Automation (ICRA), 2022 Karan Muvvala Peter Amorese Morteza Lahijanian 135 13 0 14 Mar 2022
Policy Optimization for Stochastic Shortest PathAnnual Conference Computational Learning Theory (COLT), 2022 Liyu Chen Haipeng Luo Aviv A. Rosenberg 176 14 0 07 Feb 2022
Learning Infinite-Horizon Average-Reward Markov Decision Processes with ConstraintsInternational Conference on Machine Learning (ICML), 2022 Liyu Chen R. Jain Haipeng Luo 242 30 0 31 Jan 2022
Improved No-Regret Algorithms for Stochastic Shortest Path with Linear MDPInternational Conference on Machine Learning (ICML), 2021 Liyu Chen Rahul Jain Haipeng Luo 150 15 0 18 Dec 2021
Adaptive Multi-Goal Exploration Jean Tarbouriech O. D. Domingues Pierre Ménard Matteo Pirotta Michal Valko A. Lazaric 275 4 0 23 Nov 2021
Learning Stochastic Shortest Path with Linear Function ApproximationInternational Conference on Machine Learning (ICML), 2021 Steffen Czolbe Jiafan He Adrian Dalca Quanquan Gu 278 33 0 25 Oct 2021
Policy Optimization in Adversarial MDPs: Improved Exploration via Dilated BonusesNeural Information Processing Systems (NeurIPS), 2021 Haipeng Luo Chen-Yu Wei Chung-Wei Lee 214 48 0 18 Jul 2021
Implicit Finite-Horizon Approximation and Efficient Optimal Algorithms for Stochastic Shortest Path Liyu Chen Mehdi Jafarnia-Jahromi R. Jain Haipeng Luo 211 26 0 15 Jun 2021
Online Learning for Stochastic Shortest Path Model via Posterior Sampling Mehdi Jafarnia-Jahromi Liyu Chen Rahul Jain Haipeng Luo OffRL 186 18 0 09 Jun 2021
Stochastic Shortest Path: Minimax, Parameter-Free and Towards Horizon-Free RegretNeural Information Processing Systems (NeurIPS), 2021 Jean Tarbouriech Runlong Zhou S. Du Matteo Pirotta M. Valko A. Lazaric 187 38 0 22 Apr 2021
Minimax Regret for Stochastic Shortest PathNeural Information Processing Systems (NeurIPS), 2021 Alon Cohen Yonathan Efroni Yishay Mansour Aviv A. Rosenberg 261 32 0 24 Mar 2021
Learning Adversarial Markov Decision Processes with Delayed FeedbackAAAI Conference on Artificial Intelligence (AAAI), 2020 Tal Lancewicki Aviv A. Rosenberg Yishay Mansour 300 36 0 29 Dec 2020
Minimax Regret for Stochastic Shortest Path with Adversarial Costs and Known Transition Liyu Chen Haipeng Luo Chen-Yu Wei 397 35 0 07 Dec 2020