Debraj Chakraborty

16 papers A 2B 1Journal 8Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Resilient Strategies for Stochastic Systems: How Much Does It Take to Break a Winning Strategy?
CoRR
Kush Grover, Markel Zubia, Debraj Chakraborty, Muqsit Azeem, Nils Jansen, Jan Kretínský
2025 — conf
1-2-3-Go! Policy Synthesis for Parameterized Markov Decision Processes via Decision-Tree Learning and Generalization.
VMCAI (2)
Muqsit Azeem, Debraj Chakraborty, Sudeep Kanav, Jan Kretínský, MohammadSadegh Mohagheghi, Stefanie Mohr, Maximilian Weininger
2025 — conf
Explaining Control Policies through Predicate Decision Diagrams.
HSCC
Debraj Chakraborty, Clemens Dubslaff, Sudeep Kanav, Jan Kretínský, Christoph Weinhuber
2025 J jnl
Explaining Control Policies through Predicate Decision Diagrams.
CoRR
Debraj Chakraborty, Clemens Dubslaff, Sudeep Kanav, Jan Kretínský, Christoph Weinhuber
2025 A conf
Symbiotic Local Search for Small Decision Tree Policies in MDPs.
UAI
Roman Andriushchenko, Milan Ceska, Debraj Chakraborty, Sebastian Junges, Jan Kretínský, Filip Macák
2024 J jnl
1-2-3-Go! Policy Synthesis for Parameterized Markov Decision Processes via Decision-Tree Learning and Generalization.
CoRR
Muqsit Azeem, Debraj Chakraborty, Sudeep Kanav, Jan Kretínský, MohammadSadegh Mohagheghi, Stefanie Mohr, Maximilian Weininger
2024 J jnl
Explainable Finite-Memory Policies for Partially Observable Markov Decision Processes.
CoRR
Muqsit Azeem, Debraj Chakraborty, Sudeep Kanav, Jan Kretínský
2024 — conf
Learning Explainable and Better Performing Representations of POMDP Strategies.
TACAS (2)
Alexander Bork, Debraj Chakraborty, Kush Grover, Jan Kretínský, Stefanie Mohr
2024 J jnl
Learning Explainable and Better Performing Representations of POMDP Strategies.
CoRR
Alexander Bork, Debraj Chakraborty, Kush Grover, Jan Kretínský, Stefanie Mohr
2023 J jnl
Bi-Objective Lexicographic Optimization in Markov Decision Processes with Related Objectives.
CoRR
Damien Busatto-Gaston, Debraj Chakraborty, Anirban Majumdar, Sayan Mukherjee, Guillermo A. Pérez, Jean-François Raskin
2023 — conf
Bi-objective Lexicographic Optimization in Markov Decision Processes with Related Objectives.
ATVA (1)
Damien Busatto-Gaston, Debraj Chakraborty, Anirban Majumdar, Sayan Mukherjee, Guillermo A. Pérez, Jean-François Raskin
2023 A conf
Formally-Sharp DAgger for MCTS: Lower-Latency Monte Carlo Tree Search using Data Aggregation with Formal Methods.
AAMAS
Debraj Chakraborty, Damien Busatto-Gaston, Jean-François Raskin, Guillermo A. Pérez
2023 J jnl
Formally-Sharp DAgger for MCTS: Lower-Latency Monte Carlo Tree Search using Data Aggregation with Formal Methods.
CoRR
Debraj Chakraborty, Damien Busatto-Gaston, Jean-François Raskin, Guillermo A. Pérez
2021 — conf
Safe Learning for Near-Optimal Scheduling.
QEST
Damien Busatto-Gaston, Debraj Chakraborty, Shibashis Guha, Guillermo A. Pérez, Jean-François Raskin
2020 B conf
Monte Carlo Tree Search Guided by Symbolic Advice for MDPs.
CONCUR
Damien Busatto-Gaston, Debraj Chakraborty, Jean-François Raskin
2020 J jnl
Monte Carlo Tree Search guided by Symbolic Advice for MDPs.
CoRR
Damien Busatto-Gaston, Debraj Chakraborty, Gilles Geeraerts, Jean-François Raskin