Marek Petrik
30 papers · 2008–2026 · 7 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 13 separate collaboration groups - the largest holds only 27% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Marek Petrik?
6 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Chin Pang Ho, Wolfram Wiesemann, Reazul Hasan Russel
8 papers
· 2018–2025
· ICML, NeurIPS, AISTATS
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Provable Policy Gradient for Robust Average-Reward MDPs Beyond Rectangularity
ICML 2025
Policy Gradient in Robust MDPs with Global Convergence Guarantee
ICML 2023
Robust φ-Divergence MDPs
NeurIPS 2022
Fast Algorithms for L_∞-constrained S-rectangular Robust MDPs
NeurIPS 2021
Optimizing Percentile Criterion using Robust MDPs
AISTATS 2021
Partial Policy Iteration for L1-Robust Markov Decision Processes
JMLR 2021
Beyond Confidence Regions: Tight Bayesian Ambiguity Sets for Robust MDPs
NeurIPS 2019
Fast Bellman Updates for Robust MDPs
ICML 2018
7 papers whose co-authors appear nowhere else under this name
Convergence of Fast Policy Iteration in Markov Games and Robust MDPs
AAAI 2026
Policy Gradient Bayesian Robust Optimization for Imitation Learning
ICML 2021
Bayesian Robust Optimization for Imitation Learning
NeurIPS 2020
Policy-Conditioned Uncertainty Sets for Robust Markov Decision Processes
NeurIPS 2018
Efficient and Accurate Methods for Updating Generalized Linear Models with Multiple Feature Additions
JMLR 2014
RAAM: The Benefits of Robustness in Approximating Aggregated MDPs in Reinforcement Learning
NeurIPS 2014
Biasing Approximate Dynamic Programming with a Lower Discount Factor
NeurIPS 2008