no code implementations • 15 Jan 2024 • Alexander Bork, Debraj Chakraborty, Kush Grover, Jan Kretinsky, Stefanie Mohr
Strategies for partially observable Markov decision processes (POMDP) typically require memory.
no code implementations • 22 Nov 2023 • Vatsal Kedia, Sneha Susan George, Debraj Chakraborty
The first instance of this input is used to actuate the current system and the corresponding instantaneous output is used to iteratively re-solve the LQR problem through a computationally inexpensive randomized rank-one update of the old compressed data.
no code implementations • 15 Aug 2023 • Debraj Chakraborty, Damien Busatto-Gaston, Jean-François Raskin, Guillermo A. Pérez
In particular, we use model-checking techniques to guide the MCTS algorithm in order to generate offline samples of high-quality decisions on a representative set of states of the MDP.
no code implementations • 3 May 2023 • Vishal Sawant, Debraj Chakraborty, Debasattam Pal
The paper considers a MAS of single-integrator agents with bounded inputs and a time-invariant communication graph.
no code implementations • 2 Mar 2023 • Vatsal Kedia, Debraj Chakraborty
The algorithm is especially well-suited to identify high-order and multi-scale systems with both fast and slow dynamics, which typically require a large number of input-output data samples for accurate identification using traditional subspace methods.
no code implementations • 17 Feb 2023 • Sathish Vurukonda, Debraj Chakraborty, Siuli Mukhopadhyay
On the other hand, the relative roles of various wards as sources and sinks of dengue spread is quantified by the number and weights of the directed edges originating from and incident upon each ward.
no code implementations • 19 May 2020 • Damien Busatto-Gaston, Debraj Chakraborty, Shibashis Guha, Guillermo A. Pérez, Jean-François Raskin
In this paper, we investigate the combination of synthesis, model-based learning, and online sampling techniques to obtain safe and near-optimal schedulers for a preemptible task scheduling problem.
no code implementations • 6 Jan 2020 • Aditya Chaudhari, Debraj Chakraborty
In this paper, a time-optimal feedback solution to the game of two cars, for the case where the pursuer is faster and more agile than the evader, is presented.