Debraj Chakraborty
Scholar

Debraj Chakraborty

Google Scholar ID: Aoe2xGUAAAAJ
Postdoctoral researcher, Nanyang Technological University, Singapore
Formal VerificationMarkov Decision ProcessesProbabilistic Systems
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Citations & Impact
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Citations
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H-index
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Publications
13
 
Co-authors
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Publications
1 items
Resilient Strategies for Stochastic Systems: How Much Does It Take to Break a Winning Strategy?
2026
Cited
0
Resume (English only)
Academic Achievements
  • - Publications:
  • - Explainably Safe Reinforcement Learning (NeurIPS 2025)
  • - Symbiotic Local Search for Small Decision Tree Policies in MDPs (UAI 2025)
  • - Explaining Control Policies through Predicate Decision Diagrams (HSCC 2025)
  • - 1-2-3-Go! Policy Synthesis for Parameterized Markov Decision Processes via Decision-Tree Learning and Generalization (VMCAI 2025)
  • - Learning Explainable and Better Performing Representations of POMDP Strategies (TACAS 2024)
  • - Bi-Objective Lexicographic Optimization in Markov Decision Processes with Related Objectives (ATVA 2023)
  • - Formally-Sharp DAgger for MCTS: Lower-Latency Monte Carlo Tree Search using Data Aggregation with Formal Methods (AAMAS 2023)
  • - Safe Learning for Near-Optimal Scheduling (QEST 2021)
  • - Monte Carlo Tree Search guided by Symbolic Advice for MDPs (CONCUR 2020)
Research Experience
  • - 2023 to 2025: Postdoc at the Learning in Verification lab, Faculty of Informatics, Masaryk University, Brno, working with Prof. Jan Křetínský.
  • - Current: Postdoctoral researcher at the College of Computing and Data Science, Nanyang Technological University, Singapore, working with Prof. Luke Ong.
Education
  • - PhD: Graduated from the Formal Methods and Verification group, Département d’Informatique, Université Libre de Bruxelles in 2023, supervised by Prof. Jean-François Raskin.
  • - MSc: Computer Science, Chennai Mathematical Institute.
  • - BSc: Mathematics and Computer Science, Chennai Mathematical Institute.
Background
  • Research interests include verification learning, formal methods, and reinforcement learning. Currently a postdoctoral researcher at the College of Computing and Data Science, Nanyang Technological University, Singapore, working with Prof. Luke Ong.
Miscellany
  • Contact details:
  • - Address: Debraj Chakraborty, College of Computing and Data Science, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore.
  • - Email: <firstname>.<lastname><at>ntu.edu.sg
Co-authors
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Co-authors: 0 (list not available)