8 citations · 8 across the 6 of their papers we have counts for
6 papers
Cost-Aware Diffusion Active Search
Arundhati Banerjee, Jeff Schneider
Active search for recovering objects of interest through online, adaptive decision making with autonomous agents requires trading off exploration of unknown environments with explo…
Decentralized Multi-Agent Active Search and Tracking when Targets Outnumber Agents
Arundhati Banerjee, Jeff Schneider
Multi-agent multi-target tracking has a wide range of applications, including wildlife patrolling, security surveillance or environment monitoring. Such algorithms often make restr…
MERMAIDE: Learning to Align Learners using Model-Based Meta-Learning
Arundhati Banerjee, Soham Phade, Stefano Ermon +1
We study how a principal can efficiently and effectively intervene on the rewards of a previously unseen learning agent in order to induce desirable outcomes. This is relevant to m…
Cost Aware Asynchronous Multi-Agent Active Search
Arundhati Banerjee, Ramina Ghods, Jeff Schneider
Multi-agent active search requires autonomous agents to choose sensing actions that efficiently locate targets. In a realistic setting, agents also must consider the costs that the…
Multi-Agent Active Search using Detection and Location Uncertainty
Arundhati Banerjee, Ramina Ghods, Jeff Schneider
Active search, in applications like environment monitoring or disaster response missions, involves autonomous agents detecting targets in a search space using decision making algor…
DeepTagRec: A Content-cum-User based Tag Recommendation Framework for Stack Overflow
Suman Kalyan Maity, Abhishek Panigrahi, Sayan Ghosh +3
In this paper, we develop a content-cum-user based deep learning framework DeepTagRec to recommend appropriate question tags on Stack Overflow. The proposed system learns the conte…