16 citations · 23 across the 6 of their papers we have counts for
7 papers
Using Deception in Markov Game to Understand Adversarial Behaviors through a Capture-The-Flag Environment
Siddhant Bhambri, Purv Chauhan, Frederico Araujo +2
Identifying the actual adversarial threat against a system vulnerability has been a long-standing challenge for cybersecurity research. To determine an optimal strategy for the def…
Advice Conformance Verification by Reinforcement Learning agents for Human-in-the-Loop
Mudit Verma, Ayush Kharkwal, Subbarao Kambhampati
Human-in-the-loop (HiL) reinforcement learning is gaining traction in domains with large action and state spaces, and sparse rewards by allowing the agent to take advice from HiL.…
A Mental-Model Centric Landscape of Human-AI Symbiosis
Zahra Zahedi, Sarath Sreedharan, Subbarao Kambhampati
There has been significant recent interest in developing AI agents capable of effectively interacting and teaming with humans. While each of these works try to tackle a problem qui…
Not all users are the same: Providing personalized explanations for sequential decision making problems
Utkarsh Soni, Sarath Sreedharan, Subbarao Kambhampati
There is a growing interest in designing autonomous agents that can work alongside humans. Such agents will undoubtedly be expected to explain their behavior and decisions. While g…
Planning for Proactive Assistance in Environments with Partial Observability
Anagha Kulkarni, Siddharth Srivastava, Subbarao Kambhampati
This paper addresses the problem of synthesizing the behavior of an AI agent that provides proactive task assistance to a human in settings like factory floors where they may coexi…
A Unifying Bayesian Formulation of Measures of Interpretability in Human-AI
Sarath Sreedharan, Anagha Kulkarni, David E. Smith +1
Existing approaches for generating human-aware agent behaviors have considered different measures of interpretability in isolation. Further, these measures have been studied under…