Search Results for author: Debraj Chakraborty

Found 8 papers, 0 papers with code

Learning Explainable and Better Performing Representations of POMDP Strategies

no code implementations15 Jan 2024 Alexander Bork, Debraj Chakraborty, Kush Grover, Jan Kretinsky, Stefanie Mohr

Strategies for partially observable Markov decision processes (POMDP) typically require memory.

Learning from similar systems and online data-driven LQR using iterative randomised data compression

no code implementations22 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.

Data Compression

Formally-Sharp DAgger for MCTS: Lower-Latency Monte Carlo Tree Search using Data Aggregation with Formal Methods

no code implementations15 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.

Asynchronous Distributed Consensus with Minimum Communication

no code implementations3 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.

Fast Randomized Subspace System Identification for Large I/O Data

no code implementations2 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.

Graphical estimation of multivariate count time series

no code implementations17 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.

Time Series Time Series Analysis

Safe Learning for Near Optimal Scheduling

no code implementations19 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.

Q-Learning Scheduling

A time-optimal feedback control for a particular case of the game of two cars

no code implementations6 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.

Cannot find the paper you are looking for? You can Submit a new open access paper.