18 citations · 23 across the 3 of their papers we have counts for
5 papers
PLACO: A Multi-Stage Framework for Cost-Effective Performance in Human-AI Teams
Pranavkumar Mallela, Vinay Kumar, Shashi Shekhar Jha +1
Human-AI teams play a pivotal role in improving overall system performance when neither the human nor the model can achieve such performance on their own. With the advent of powerf…
CAPSULE: Control-Theoretic Action Perturbations for Safe Uncertainty-Aware Reinforcement Learning
Rahul Narava, Siddharth Verma, Ojas Jain +2
Ensuring safe exploration in high-dimensional systems with unknown dynamics remains a significant challenge. Existing safe reinforcement learning methods often provide safety guara…
DQ4FairIM: Fairness-aware Influence Maximization using Deep Reinforcement Learning
Akrati Saxena, Harshith Kumar Yadav, Bart Rutten +1
The Influence Maximization (IM) problem aims to select a set of seed nodes within a given budget to maximize the spread of influence in a social network. However, real-world social…
Chasing the Intruder: A Reinforcement Learning Approach for Tracking Intruder Drones
Shivam Kainth, Subham Sahoo, Rajtilak Pal +1
Drones are becoming versatile in a myriad of applications. This has led to the use of drones for spying and intruding into the restricted or private air spaces. Such foul use of dr…
On Ordering Multi-Robot Task Executions within a Cyber Physical System
Tushar Semwal, Shashi Shekhar Jha, Shivashankar B. Nair
With robots entering the world of Cyber Physical Systems (CPS), ordering the execution of allocated tasks during run-time becomes crucial. This is so because, in a real world, ther…