Marek Petrik

发表

Finite-Sample Analysis of Proximal Gradient TD Algorithms

Marek Petrik, Bo Liu, Ji Liu, 2015, UAI.

Robust Policy Optimization with Baseline Guarantees

M. Ghavamzadeh, Marek Petrik, Yinlam Chow, 2015, 1506.04514.

Interaction Structure and Dimensionality Reduction in Decentralized MDPs

Marek Petrik, Martin Allen, Shlomo Zilberstein, 2008, AAAI.

Interaction Structure and Dimensionality in Decentralized ProblemSolving

S. Zilberstein, Marek Petrik, M. Allen, 2008 .

Linear Dynamic Programs for Resource Management

Marek Petrik, Shlomo Zilberstein, S. Zilberstein, 2011, AAAI.

An Analysis of Laplacian Methods for Value Function Approximation in MDPs

Marek Petrik, Marek Petrik, 2007, IJCAI.

Biasing Approximate Dynamic Programming with a Lower Discount Factor

Marek Petrik, Bruno Scherrer, B. Scherrer, 2008, NIPS.

Constraint relaxation in approximate linear programs

Marek Petrik, Shlomo Zilberstein, S. Zilberstein, 2009, ICML '09.

Real-time Planning as Data-driven Decision-making

J. Hoffmann, Marek Petrik, Maximilian Fickert, 2020 .

Social media and customer behavior analytics for personalized customer engagements

Marek Petrik, Markus Ettl, Stephen J. Buckley, 2014, IBM J. Res. Dev..

Optimizing the end-to-end value chain through demand shaping and advanced customer analytics

Brenda L Dietrich, Marek Petrik, M. Ettl, 2012 .

The Price of Dynamic Inconsistency for Distortion Risk Measures

Marek Petrik, Dharmashankar Subramanian, Dan Andrei Iancu, 2011 .

Robust Phi-Divergence MDPs

Marek Petrik, W. Wiesemann, C. Ho, 2022, ArXiv.

Optimization-based approximate dynamic programming

Marek Petrik, Shlomo Zilberstein, S. Zilberstein, 2010 .

Computing Robust Strategies for Managing Invasive Plants

Jenica M. Allen, Marek Petrik, Tim M Szewczyk, 2018 .

On the convex formulations of robust Markov decision processes

Marek Petrik, Julien Grand-Clément, 2022, ArXiv.

Dec . 13 , 2019 Safety and Robustness in Decision-making

Shie Mannor, M. Ghavamzadeh, Yisong Yue, 2022 .

Comparison between a Linear Regression and an Artificial Neural Network Model to Detect and Localize Damage in the Powder Mill Bridge

Marek Petrik, Erin Santini-Bell, Masoud Sanayei, 2020, Transportation Research Record: Journal of the Transportation Research Board.

An Approximate Solution Method for Large Risk-Averse Markov Decision Processes

Marek Petrik, Dharmashankar Subramanian, Marek Petrik, 2012, UAI.

Learning Feature-Based Heuristic Functions

Marek Petrik, Shlomo Zilberstein, S. Zilberstein, 2012, Autonomous Search.

Bayesian Robust Optimization for Imitation Learning pdf

Marek Petrik, Scott Niekum, Daniel S. Brown, 2020, NeurIPS.

High-Confidence Policy Optimization: Reshaping Ambiguity Sets in Robust MDPs pdf

Marek Petrik, Reazul Hasan Russel, Bahram Behzadian, 2019, ArXiv.

Learning parallel portfolios of algorithms

Marek Petrik, Shlomo Zilberstein, S. Zilberstein, 2006, Annals of Mathematics and Artificial Intelligence.

On the Convergence of Policy Gradient in Robust MDPs

Qiuhao Wang, Marek Petrik, C. Ho, 2022, ArXiv.

Robust Phi-Divergence MDPs

Marek Petrik, W. Wiesemann, C. Ho, 2022, 2205.14202.

Partial Policy Iteration for L1-Robust Markov Decision Processes pdf

Wolfram Wiesemann, Marek Petrik, Chin Pang Ho, 2020, J. Mach. Learn. Res..

Beyond Confidence Regions: Tight Bayesian Ambiguity Sets for Robust MDPs

Marek Petrik, Reazul Hasan Russel, Marek Petrik, 2019, NeurIPS.

Fast Bellman Updates for Robust MDPs

Marek Petrik, Wolfram Wiesemann, Chin Pang Ho, 2018, ICML.

MMS SITL Ground Loop: Automating the Burst Data Selection Process

Marek Petrik, Roy B. Torbert, William R. Paterson, 2020, Frontiers in Astronomy and Space Sciences.

Data poisoning attacks on off-policy policy evaluation methods

Marek Petrik, Himabindu Lakkaraju, Harvineet Singh, 2024, UAI.

KNOWLEDGE REPRESENTATION FOR EXPERT SYSTEMS

Marek Petrik, MAREK PETRIK, 2004 .

Policy Gradient in Robust MDPs with Global Convergence Guarantee

Marek Petrik, C. Ho, Qiuhao Wang, 2022, ICML.

A Bilinear Programming Approach for Multiagent Planning

Marek Petrik, Shlomo Zilberstein, S. Zilberstein, 2009, J. Artif. Intell. Res..

Average-Reward Decentralized Markov Decision Processes

Marek Petrik, Shlomo Zilberstein, S. Zilberstein, 2007, IJCAI.

Low-rank Feature Selection for Reinforcement Learning

Marek Petrik, Bahram Behzadian, Marek Petrik, 2018, ISAIM.

Policy Gradient Bayesian Robust Optimization for Imitation Learning pdf

Anca D. Dragan, Marek Petrik, Ashwin Balakrishna, 2021, ICML.

Hybrid least-squares algorithms for approximate policy evaluation

Marek Petrik, Sridhar Mahadevan, Jeffrey Johns, 2009, Machine Learning.

A Convex Relaxation Approach to Bayesian Regret Minimization in Offline Bandits

M. Ghavamzadeh, Marek Petrik, Guy Tennenholtz, 2023, ArXiv.

Efficient and accurate methods for updating generalized linear models with multiple feature additions

Amit Dhurandhar, Marek Petrik, Marek Petrik, 2014, J. Mach. Learn. Res..

Proximal Gradient Temporal Difference Learning Algorithms

Marek Petrik, Bo Liu, Ji Liu, 2016, IJCAI.

Feature Selection Using Regularization in Approximate Linear Programs for Markov Decision Processes

Marek Petrik, Shlomo Zilberstein, Gavin Taylor, 2010, ICML.

On Dynamic Programming Decompositions of Static Risk Measures in Markov Decision Processes

M. Ghavamzadeh, Marek Petrik, E. Delage, 2023, 2304.12477.

Soft-Robust Algorithms for Handling Model Misspecification pdf

Mohammad Ghavamzadeh, Marek Petrik, Elita A. Lobo, 2020, ArXiv.

Entropic Risk Optimization in Discounted MDPs

M. Ghavamzadeh, Marek Petrik, J. Hau, 2023, AISTATS.

Optimizing Percentile Criterion using Robust MDPs

Marek Petrik, Reazul Hasan Russel, Chin Pang Ho, 2021, AISTATS.

Safe Policy Improvement by Minimizing Robust Baseline Regret

Marek Petrik, Mohammad Ghavamzadeh, Yinlam Chow, 2016, NIPS.

Interpretable Policies for Dynamic Product Recommendations

Marek Petrik, Ronny Luss, Marek Petrik, 2016, UAI.

Proximal Gradient Temporal Difference Learning: Stable Reinforcement Learning with Polynomial Sample Complexity pdf

Marek Petrik, Ji Liu, Bo Liu, 2018, J. Artif. Intell. Res..

Finite-Sample Analysis of GTD Algorithms pdf

Bo Liu, Ji Liu, Sridhar Mahadevan, 2020, ArXiv.

Spatially optimized distribution of household rainwater harvesting and greywater recycling systems

Marek Petrik, Zhongming Lu, M. Palace, 2021 .

Robust Partially-Compressed Least-Squares pdf

Marek Petrik, Stephen Becker, Ban Kawas, 2015, AAAI.

Approximate Dynamic Programming By Minimizing Distributionally Robust Bounds pdf

Marek Petrik, Marek Petrik, 2012, ICML.

RAAM: The Benefits of Robustness in Approximating Aggregated MDPs in Reinforcement Learning

Marek Petrik, Dharmashankar Subramanian, Marek Petrik, 2014, NIPS.

RASR: Risk-Averse Soft-Robust MDPs with EVaR and Entropic Risk

M. Ghavamzadeh, Marek Petrik, R. Russel, 2022, arXiv.org.

Tight Approximations of Dynamic Risk Measures

Marek Petrik, Dharmashankar Subramanian, Dan Andrei Iancu, 2011, Math. Oper. Res..

Fast Algorithms for $L_\infty$-constrained S-rectangular Robust MDPs

Marek Petrik, Bahram Behzadian, C. Ho, 2021, NeurIPS.

Robust Behavior Cloning with Adversarial Demonstration Detection

Brenda J. Crowe, Marek Petrik, Mostafa Hussein, 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Optimizing Norm-Bounded Weighted Ambiguity Sets for Robust MDPs pdf

Reazul Hasan Russel, Marek Petrik, Bahram Behzadian, 2019, ArXiv.

Solution Methods for Constrained Markov Decision Process with Continuous Probability Modulation pdf

Marek Petrik, Dharmashankar Subramanian, Janusz Marecki, 2013, UAI.

Optimal Threshold Control for Energy Arbitrage with Degradable Battery Storage

Marek Petrik, Xiaojian Wu, Marek Petrik, 2015, UAI.

Robust Approximate Bilinear Programming for Value Function Approximation

Marek Petrik, Shlomo Zilberstein, S. Zilberstein, 2011, J. Mach. Learn. Res..

Global Optimization for Value Function Approximation pdf

Marek Petrik, Shlomo Zilberstein, S. Zilberstein, 2010, ArXiv.

Robust Value Function Approximation Using Bilinear Programming

Marek Petrik, Shlomo Zilberstein, S. Zilberstein, 2009, NIPS.

Agile logistics simulation and optimization for managing disaster responses

Marek Petrik, Markus Ettl, Francisco Barahona, 2013, 2013 Winter Simulations Conference (WSC).

Learning Heuristic Functions through Approximate Linear Programming

Marek Petrik, Shlomo Zilberstein, S. Zilberstein, 2008, ICAPS.

Solving multi-model MDPs by coordinate ascent and dynamic programming

Marek Petrik, Xihong Su, 2023, UAI.

Inverse Reinforcement Learning of Interaction Dynamics from Demonstrations

Momotaz Begum, Mostafa Hussein, Marek Petrik, 2019, 2019 International Conference on Robotics and Automation (ICRA).

Statistically Optimal Combination of Algorithms

Marek Petrik, Marek Petrik, 2004 .

Bayesian Robust Optimization for Imitation Learning

Daniel S. Brown, Marek Petrik, S. Niekum, 2020, NeurIPS.

Robust Maximum Entropy Behavior Cloning pdf

Marek Petrik, Momotaz Begum, Mostafa Hussein, 2021, ArXiv.