Marek Petrik
University of New Hampshire(US)
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Risk and Portfolio Optimization, Machine Learning and Algorithms, Adaptive Dynamic Programming Control, Advanced Bandit Algorithms Research
Most-Cited Works
- → Finite-Sample Analysis of Proximal Gradient TD Algorithms(2020)105 cited
- → Safe Policy Improvement by Minimizing Robust Baseline Regret(2016)68 cited
- An analysis of Laplacian methods for value function approximation in MDPs(2007)
- → Feature Selection Using Regularization in Approximate Linear Programs for Markov Decision Processes(2010)44 cited
- → Tight Approximations of Dynamic Risk Measures(2015)39 cited
- Biasing Approximate Dynamic Programming with a Lower Discount Factor(2008)
- → Constraint relaxation in approximate linear programs(2009)34 cited
- → Learning parallel portfolios of algorithms(2006)29 cited
- → A Bilinear Programming Approach for Multiagent Planning(2009)25 cited
- → Spatially optimized distribution of household rainwater harvesting and greywater recycling systems(2021)25 cited