Tathagata Chakraborti | DeepAI

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∙ 06/13/2023

TOBY: A Tool for Exploring Data in Academic Survey Papers

This paper describes TOBY, a visualization tool that helps a user explor...

0 Tathagata Chakraborti, et al. ∙

∙ 06/14/2022

MACQ: A Holistic View of Model Acquisition Techniques

For over three decades, the planning community has explored countless me...

36 Ethan Callanan, et al. ∙

∙ 02/23/2022

Virtual, Augmented, and Mixed Reality for Human-Robot Interaction: A Survey and Virtual Design Element Taxonomy

Virtual, Augmented, and Mixed Reality for Human-Robot Interaction (VAM-H...

2 Michael Walker, et al. ∙

∙ 09/27/2021

COVID-19 India Dataset: Parsing Detailed COVID-19 Data in Daily Health Bulletins from States in India

While India remains one of the hotspots of the COVID-19 pandemic, data a...

0 Mayank Agarwal, et al. ∙

∙ 03/03/2021

NeurIPS 2020 NLC2CMD Competition: Translating Natural Language to Bash Commands

The NLC2CMD Competition hosted at NeurIPS 2020 aimed to bring the power ...

24 Mayank Agarwal, et al. ∙

∙ 11/22/2020

A Bayesian Account of Measures of Interpretability in Human-AI Interaction

Existing approaches for the design of interpretable agent behavior consi...

0 Sarath Sreedharan, et al. ∙

∙ 11/21/2020

Explainable Composition of Aggregated Assistants

A new design of an AI assistant that has become increasingly popular is ...

0 Sarath Sreedharan, et al. ∙

∙ 07/27/2020

From Robotic Process Automation to Intelligent Process Automation: Emerging Trends

In this survey, we study how recent advances in machine intelligence are...

30 Tathagata Chakraborti, et al. ∙

∙ 07/02/2020

Designing Environments Conducive to Interpretable Robot Behavior

Designing robots capable of generating interpretable behavior is a prere...

21 Anagha Kulkarni, et al. ∙

∙ 02/26/2020

The Emerging Landscape of Explainable AI Planning and Decision Making

In this paper, we provide a comprehensive outline of the different threa...

47 Tathagata Chakraborti, et al. ∙

∙ 01/31/2020

CLAI: A Platform for AI Skills on the Command Line

This paper reports on the open source project CLAI (Command Line AI), ai...

31 Mayank Agarwal, et al. ∙

∙ 01/08/2020

D3BA: A Tool for Optimizing Business Processes Using Non-Deterministic Planning

This paper builds upon recent work in the declarative design of dialogue...

20 Tathagata Chakraborti, et al. ∙

∙ 01/07/2020

A Unified Conversational Assistant Framework for Business Process Automation

Business process automation is a booming multi-billion-dollar industry t...

23 Yara Rizk, et al. ∙

∙ 10/17/2019

Planning for Goal-Oriented Dialogue Systems

Generating complex multi-turn goal-oriented dialogue agents is a difficu...

54 Christian Muise, et al. ∙

∙ 03/18/2019

Planning with Explanatory Actions: A Joint Approach to Plan Explicability and Explanations in Human-Aware Planning

In this work, we formulate the process of generating explanations as mod...

18 Sarath Sreedharan, et al. ∙

∙ 11/23/2018

Explicability? Legibility? Predictability? Transparency? Privacy? Security? The Emerging Landscape of Interpretable Agent Behavior

There has been significant interest of late in generating behavior of ag...

0 Tathagata Chakraborti, et al. ∙

∙ 02/03/2018

Plan Explanations as Model Reconciliation -- An Empirical Study

Recent work in explanation generation for decision making agents has loo...

0 Tathagata Chakraborti, et al. ∙

∙ 01/30/2018

Algorithms for the Greater Good! On Mental Modeling and Acceptable Symbiosis in Human-AI Collaboration

Effective collaboration between humans and AI-based systems requires eff...

0 Tathagata Chakraborti, et al. ∙

∙ 09/13/2017

Visualizations for an Explainable Planning Agent

In this paper, we report on the visualization capabilities of an Explain...

0 Tathagata Chakraborti, et al. ∙

∙ 09/13/2017

Mr. Jones -- Towards a Proactive Smart Room Orchestrator

In this paper, we report work in progress on the development of Mr. Jone...

0 Tathagata Chakraborti, et al. ∙

∙ 08/01/2017

Balancing Explicability and Explanation in Human-Aware Planning

Human aware planning requires an agent to be aware of the intentions, ca...

0 Sarath Sreedharan, et al. ∙

∙ 07/15/2017

AI Challenges in Human-Robot Cognitive Teaming

Among the many anticipated roles for robots in the future is that of bei...

0 Tathagata Chakraborti, et al. ∙

∙ 01/28/2017

Plan Explanations as Model Reconciliation: Moving Beyond Explanation as Soliloquy

When AI systems interact with humans in the loop, they are often called ...

0 Tathagata Chakraborti, et al. ∙

∙ 11/16/2016

Explicablility as Minimizing Distance from Expected Behavior

In order to have effective human AI collaboration, it is not simply enou...

0 Anagha Kulkarni, et al. ∙

∙ 09/27/2016

UbuntuWorld 1.0 LTS - A Platform for Automated Problem Solving & Troubleshooting in the Ubuntu OS

In this paper, we present UbuntuWorld 1.0 LTS - a platform for developin...

0 Tathagata Chakraborti, et al. ∙

∙ 06/24/2016

Proactive Decision Support using Automated Planning

Proactive decision support (PDS) helps in improving the decision making ...

0 Satya Gautam Vadlamudi, et al. ∙

∙ 11/25/2015

Plan Explicability and Predictability for Robot Task Planning

Intelligent robots and machines are becoming pervasive in human populate...

0 Yu Zhang, et al. ∙

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