19 citations · 21 across the 10 of their papers we have counts for
5 papers · 1 filter
Formally-Sharp DAgger for MCTS: Lower-Latency Monte Carlo Tree Search using Data Aggregation with Formal Methods
Debraj Chakraborty, Damien Busatto-Gaston, Jean-François Raskin +1
We study how to efficiently combine formal methods, Monte Carlo Tree Search (MCTS), and deep learning in order to produce high-quality receding horizon policies in large Markov Dec…
Asynchronous Distributed Consensus with Minimum Communication
Vishal Sawant, Debraj Chakraborty, Debasattam Pal
In this paper, the communication effort required in a multi-agent system (MAS) is minimized via an explicit optimization formulation. The paper considers a MAS of single-integrator…
Bi-Objective Lexicographic Optimization in Markov Decision Processes with Related Objectives
Damien Busatto-Gaston, Debraj Chakraborty, Anirban Majumdar +3
We consider lexicographic bi-objective problems on Markov Decision Processes (MDPs), where we optimize one objective while guaranteeing optimality of another. We propose a two-stag…
Fast Randomized Subspace System Identification for Large I/O Data
Vatsal Kedia, Debraj Chakraborty
In this article, a novel fast randomized subspace system identification method for estimating combined deterministic-stochastic LTI state-space models, is proposed. The algorithm i…
Graphical estimation of multivariate count time series
Sathish Vurukonda, Debraj Chakraborty, Siuli Mukhopadhyay
The problems of selecting partial correlation and causality graphs for count data are considered. A parameter driven generalized linear model is used to describe the observed multi…