Marek Petrik

1. Bayesian Robust Optimization for Imitation Learning
   2020/07/24 by Daniel S. Brown, Brown, Daniel S., Scott Niekum +3 · 3 citations
   Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Reinforcement Learning in Robotics
2. An Approximate Solution Method for Large Risk-Averse Markov Decision\n Processes
   2012/10/16 by Marek Petrik, Petrik, Marek, Dharmashankar Subramanian +1 · 2 citations
   Computer Science · Decision Sciences · Engineering · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #FOS: Economics and business #Portfolio Management (q-fin.PM) #Reservoir Engineering and Simulation Methods #Risk and Portfolio Optimization #Simulation Techniques and Applications
3. Beyond Confidence Regions: Tight Bayesian Ambiguity Sets for Robust MDPs
   2019/02/20 by Marek Petrik, Reazul Hasan Russell, Petrik, Marek +1 · 2 citations
   Computer Science · Decision Sciences · #Reinforcement Learning in Robotics #Advanced Multi-Objective Optimization Algorithms #Advanced Bandit Algorithms Research
4. Beyond discounted returns: Robust Markov decision processes with average and Blackwell optimality
   2023/12/06 by Julien Grand-Clément, Marek Petrik, Grand-Clément, Julien +3 · 4 citations
   Business, Management and Accounting · Computer Science · Decision Sciences · #Supply Chain and Inventory Management #Reinforcement Learning in Robotics #Auction Theory and Applications
5. Partial Policy Iteration for L1-Robust Markov Decision Processes
   2020/06/16 by Chin Pang Ho, Ho, Chin Pang, Marek Petrik +3 · 2 citations
   Computer Science · #FOS: Computer and information sciences #FOS: Mathematics #Formal Methods in Verification #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Optimization and Control (math.OC) #Reinforcement Learning in Robotics
6. Optimizing Percentile Criterion Using Robust MDPs
   2019/10/23 by Bahram Behzadian, Behzadian, Bahram, Reazul Hasan Russel +5 · 1 citation
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Risk and Portfolio Optimization
7. Finite-Sample Analysis of Proximal Gradient TD Algorithms
   2020/06/06 by Bo Liu, Ji Liu, Liu, Bo +7 · 2 citations
   Computer Science · Engineering · #Adaptive Dynamic Programming Control #FOS: Computer and information sciences #Iterative Learning Control Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics