66 citations · 168 across the 35 of their papers we have counts for
6 papers · 1 filter
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games
Indranil Sur, Zachary Daniels, Abrar Rahman +16
As Artificial and Robotic Systems are increasingly deployed and relied upon for real-world applications, it is important that they exhibit the ability to continually learn and adap…
Unpacking Large Language Models with Conceptual Consistency
Pritish Sahu, Michael Cogswell, Yunye Gong +1
If a Large Language Model (LLM) answers "yes" to the question "Are mountains tall?" then does it know what a mountain is? Can you rely on it responding correctly or incorrectly to…
Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2
Zachary Daniels, Aswin Raghavan, Jesse Hostetler +4
One approach to meet the challenges of deep lifelong reinforcement learning (LRL) is careful management of the agent's learning experiences, to learn (without forgetting) and build…
Towards Understanding Confusion and Affective States Under Communication Failures in Voice-Based Human-Machine Interaction
Sujeong Kim, Abhinav Garlapati, Jonah Lubin +2
We present a series of two studies conducted to understand user's affective states during voice-based human-machine interactions. Emphasis is placed on the cases of communication e…
Broadening AI Ethics Narratives: An Indic Art View
Ajay Divakaran, Aparna Sridhar, Ramya Srinivasan
Incorporating interdisciplinary perspectives is seen as an essential step towards enhancing artificial intelligence (AI) ethics. In this regard, the field of arts is perceived to p…
Detecting out-of-context objects using contextual cues
Manoj Acharya, Anirban Roy, Kaushik Koneripalli +3
This paper presents an approach to detect out-of-context (OOC) objects in an image. Given an image with a set of objects, our goal is to determine if an object is inconsistent with…