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Robust Anytime Learning of Markov Decision Processes
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Robust Anytime Learning of Markov Decision Processes

Marnix Suilen
T. D. Simão
David Parker
N. Jansen
ArXiv (abs)PDFHTML

Papers citing "Robust Anytime Learning of Markov Decision Processes"

8 / 8 papers shown
Title
What Are the Odds? Improving the foundations of Statistical Model Checking
What Are the Odds? Improving the foundations of Statistical Model Checking
Tobias Meggendorfer
Maximilian Weininger
Patrick Wienhoft
104
4
0
08 Apr 2024
Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism
Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism
Paria Rashidinejad
Banghua Zhu
Cong Ma
Jiantao Jiao
Stuart J. Russell
OffRL
233
290
0
22 Mar 2021
Is Pessimism Provably Efficient for Offline RL?
Is Pessimism Provably Efficient for Offline RL?
Ying Jin
Zhuoran Yang
Zhaoran Wang
OffRL
187
360
0
30 Dec 2020
Robust Finite-State Controllers for Uncertain POMDPs
Robust Finite-State Controllers for Uncertain POMDPs
Murat Cubuktepe
N. Jansen
Sebastian Junges
Ahmadreza Marandi
Marnix Suilen
Ufuk Topcu
56
28
0
24 Sep 2020
Learning Adversarial MDPs with Bandit Feedback and Unknown Transition
Learning Adversarial MDPs with Bandit Feedback and Unknown Transition
Chi Jin
Tiancheng Jin
Haipeng Luo
S. Sra
Tiancheng Yu
84
104
0
03 Dec 2019
Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction to Concepts and Methods
Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction to Concepts and Methods
Eyke Hüllermeier
Willem Waegeman
PERUD
255
1,427
0
21 Oct 2019
A Bayesian Approach to Robust Reinforcement Learning
A Bayesian Approach to Robust Reinforcement Learning
E. Derman
D. Mankowitz
Timothy A. Mann
Shie Mannor
76
60
0
20 May 2019
Beyond Confidence Regions: Tight Bayesian Ambiguity Sets for Robust MDPs
Beyond Confidence Regions: Tight Bayesian Ambiguity Sets for Robust MDPs
Marek Petrik
R. Russel
80
61
0
20 Feb 2019

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