3 citations · 4 across the 8 of their papers we have counts for
13 papers
Using LLMs for Knowledge Component-level Correctness Labeling in Open-ended Coding Problems
Zhangqi Duan, Arnav Kankaria, Dhruv Kartik +1
Fine-grained skill representations, commonly referred to as knowledge components (KCs), are fundamental to many approaches in student modeling and learning analytics. However, KC-l…
Optimal Control of Logically Constrained Partially Observable and Multi-Agent Markov Decision Processes
Krishna C. Kalagarla, Dhruva Kartik, Dongming Shen +3
Autonomous systems often have logical constraints arising, for example, from safety, operational, or regulatory requirements. Such constraints can be expressed using temporal logic…
Optimal Communication and Control Strategies for a Multi-Agent System in the Presence of an Adversary
Dhruva Kartik, Sagar Sudhakara, Rahul Jain +1
We consider a multi-agent system in which a decentralized team of agents controls a stochastic system in the presence of an adversary. Instead of committing to a fixed information…
Optimal Control of Partially Observable Markov Decision Processes with Finite Linear Temporal Logic Constraints
Krishna C. Kalagarla, Dhruva Kartik, Dongming Shen +3
Autonomous agents often operate in scenarios where the state is partially observed. In addition to maximizing their cumulative reward, agents must execute complex tasks with rich t…
Optimal communication and control strategies in a multi-agent MDP problem
Sagar Sudhakara, Dhruva Kartik, Rahul Jain +1
The problem of controlling multi-agent systems under different models of information sharing among agents has received significant attention in the recent literature. In this paper…
Common Information Belief based Dynamic Programs for Stochastic Zero-sum Games with Competing Teams
Dhruva Kartik, Ashutosh Nayyar, Urbashi Mitra
Decentralized team problems where players have asymmetric information about the state of the underlying stochastic system have been actively studied, but \emph{games} between such…
Adaptive Sampling for Estimating Distributions: A Bayesian Upper Confidence Bound Approach
Dhruva Kartik, Neeraj Sood, Urbashi Mitra +1
The problem of adaptive sampling for estimating probability mass functions (pmf) uniformly well is considered. Performance of the sampling strategy is measured in terms of the wors…
Testing for Anomalies: Active Strategies and Non-asymptotic Analysis
Dhruva Kartik, Ashutosh Nayyar, Urbashi Mitra
The problem of verifying whether a multi-component system has anomalies or not is addressed. Each component can be probed over time in a data-driven manner to obtain noisy observat…
Fixed-horizon Active Hypothesis Testing
Dhruva Kartik, Ashutosh Nayyar, Urbashi Mitra
Two active hypothesis testing problems are formulated. In these problems, the agent can perform a fixed number of experiments and then decide on one of the hypotheses. The agent is…
Zero-sum Stochastic Games with Asymmetric Information
Dhruva Kartik, Ashutosh Nayyar
A general model for zero-sum stochastic games with asymmetric information is considered. In this model, each player's information at each time can be divided into a common informat…
Active Hypothesis Testing: Beyond Chernoff-Stein
Dhruva Kartik, Ashutosh Nayyar, Urbashi Mitra
An active hypothesis testing problem is formulated. In this problem, the agent can perform a fixed number of experiments and then decide on one of the hypotheses. The agent is also…
Sequential Experiment Design for Hypothesis Verification
Dhruva Kartik, Ashutosh Nayyar, Urbashi Mitra
Hypothesis testing is an important problem with applications in target localization, clinical trials etc. Many active hypothesis testing strategies operate in two phases: an explor…
Policy Design for Active Sequential Hypothesis Testing using Deep Learning
Dhruva Kartik, Ekraam Sabir, Urbashi Mitra +1
Information theory has been very successful in obtaining performance limits for various problems such as communication, compression and hypothesis testing. Likewise, stochastic con…