Utkarsh Soni | DeepAI

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∙ 04/04/2023

PromptAid: Prompt Exploration, Perturbation, Testing and Iteration using Visual Analytics for Large Language Models

Large Language Models (LLMs) have gained widespread popularity due to th...

0 Aditi Mishra, et al. ∙

∙ 02/28/2023

Methods and Mechanisms for Interactive Novelty Handling in Adversarial Environments

Learning to detect, characterize and accommodate novelties is a challeng...

0 Tung Thai, et al. ∙

∙ 07/09/2021

Integrating Planning, Execution and Monitoring in the presence of Open World Novelties: Case Study of an Open World Monopoly Solver

The game of monopoly is an adversarial multi-agent domain where there is...

0 Sriram Gopalakrishnan, et al. ∙

∙ 06/23/2021

Not all users are the same: Providing personalized explanations for sequential decision making problems

There is a growing interest in designing autonomous agents that can work...

0 Utkarsh Soni, et al. ∙

∙ 04/06/2021

Why? Why not? When? Visual Explanations of Agent Behavior in Reinforcement Learning

Reinforcement Learning (RL) is a widely-used technique in many domains, ...

0 Aditi Mishra, et al. ∙

∙ 02/15/2020

Let Me At Least Learn What You Really Like: Dealing With Noisy Humans When Learning Preferences

Learning the preferences of a human improves the quality of the interact...

0 Sriram Gopalakrishnan, et al. ∙

∙ 11/04/2019

Same Stats, Different Graphs: Exploring the Space of Graphs in Terms of Graph Properties

Data analysts commonly utilize statistics to summarize large datasets. W...

0 Hang Chen, et al. ∙

∙ 08/29/2018

Same Stats, Different Graphs (Graph Statistics and Why We Need Graph Drawings)

Data analysts commonly utilize statistics to summarize large datasets. W...

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