Sarath Sreedharan

Orcid: 0000-0002-2299-0178

Affiliations:
  • Colorado State University, Fort Collins, CO, USA


According to our database1, Sarath Sreedharan authored at least 76 papers between 2015 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Explainable Human-AI Interaction: A Planning Perspective.
CoRR, 2024

Human-Modeling in Sequential Decision-Making: An Analysis through the Lens of Human-Aware AI.
CoRR, 2024

Reducing Human-Robot Goal State Divergence with Environment Design.
CoRR, 2024

Handling Reward Misspecification in the Presence of Expectation Mismatch.
CoRR, 2024

Planning with mental models - Balancing explanations and explicability.
Artif. Intell., 2024

HELP! Providing Proactive Support in the Presence of Knowledge Asymmetry.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

A Wireframe-Based Approach for Classifying and Acquiring Proficiency in the American Sign Language (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Goal Alignment: Re-analyzing Value Alignment Problems Using Human-Aware AI.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Can LLMs Fix Issues with Reasoning Models? Towards More Likely Models for AI Planning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
<i>Human-aware AI</i> - A foundational framework for human-AI interaction.
AI Mag., December, 2023

Towards More Likely Models for AI Planning.
CoRR, 2023

TOBY: A Tool for Exploring Data in Academic Survey Papers.
CoRR, 2023

On the Planning Abilities of Large Language Models (A Critical Investigation with a Proposed Benchmark).
CoRR, 2023

Goal Alignment: A Human-Aware Account of Value Alignment Problem.
CoRR, 2023

A Mental Model Based Theory of Trust.
CoRR, 2023

Explainable AI for Prioritizing and Deploying Defenses for Cyber-Physical System Resiliency.
Proceedings of the 5th IEEE International Conference on Trust, 2023

On the Planning Abilities of Large Language Models - A Critical Investigation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Optimistic Exploration in Reinforcement Learning Using Symbolic Model Estimates.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

KiL 2023 : 3rd International Workshop on Knowledge-infused Learning.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Trust-Aware Planning: Modeling Trust Evolution in Iterated Human-Robot Interaction.
Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 2023

Generalizing Action Justification and Causal Links to Policies.
Proceedings of the Thirty-Third International Conference on Automated Planning and Scheduling, 2023

Planning for Attacker Entrapment in Adversarial Settings.
Proceedings of the Thirty-Third International Conference on Automated Planning and Scheduling, 2023

Human-Aware AI - A Foundational Framework for Human-AI Interaction.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Towards customizable reinforcement learning agents: Enabling preference specification through online vocabulary expansion.
CoRR, 2022

Large Language Models Still Can't Plan (A Benchmark for LLMs on Planning and Reasoning about Change).
CoRR, 2022

A Mental-Model Centric Landscape of Human-AI Symbiosis.
CoRR, 2022

On the Computational Complexity of Model Reconciliations.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill Diversity.
Proceedings of the International Conference on Machine Learning, 2022

Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Modeling the Interplay between Human Trust and Monitoring.
Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2022

RADAR-X: An Interactive Mixed Initiative Planning Interface Pairing Contrastive Explanations and Revised Plan Suggestions.
Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, 2022

Symbols as a Lingua Franca for Bridging Human-AI Chasm for Explainable and Advisable AI Systems.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
GPT3-to-plan: Extracting plans from text using GPT-3.
CoRR, 2021

Trust-Aware Planning: Modeling Trust Evolution in Longitudinal Human-Robot Interaction.
CoRR, 2021

A Unifying Bayesian Formulation of Measures of Interpretability in Human-AI.
CoRR, 2021

Using state abstractions to compute personalized contrastive explanations for AI agent behavior.
Artif. Intell., 2021

Foundations of explanations as model reconciliation.
Artif. Intell., 2021

Not all users are the same: Providing personalized explanations for sequential decision making problems.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

A Unifying Bayesian Formulation of Measures of Interpretability in Human-AI Interaction.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

RADAR-X: An Interactive Interface Pairing Contrastive Explanations with Revised Plan Suggestions.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
A Bayesian Account of Measures of Interpretability in Human-AI Interaction.
CoRR, 2020

Explainable Composition of Aggregated Assistants.
CoRR, 2020

The Emerging Landscape of Explainable AI Planning and Decision Making.
CoRR, 2020

Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Black Box Simulators.
CoRR, 2020

Designing Environments Conducive to Interpretable Robot Behavior.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

The Emerging Landscape of Explainable Automated Planning & Decision Making.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

TLdR: Policy Summarization for Factored SSP Problems Using Temporal Abstractions.
Proceedings of the Thirtieth International Conference on Automated Planning and Scheduling, 2020

- D3WA+ - A Case Study of XAIP in a Model Acquisition Task for Dialogue Planning.
Proceedings of the Thirtieth International Conference on Automated Planning and Scheduling, 2020

Hierarchical Expertise-Level Modeling for User Specific Robot-Behavior Explanations.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Why Couldn't You do that? Explaining Unsolvability of Classical Planning Problems in the Presence of Plan Advice.
CoRR, 2019

Planning with Explanatory Actions: A Joint Approach to Plan Explicability and Explanations in Human-Aware Planning.
CoRR, 2019

Why Can't You Do That HAL? Explaining Unsolvability of Planning Tasks.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Model-Free Model Reconciliation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Balancing Explicability and Explanations in Human-Aware Planning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Towards Understanding User Preferences for Explanation Types in Model Reconciliation.
Proceedings of the 14th ACM/IEEE International Conference on Human-Robot Interaction, 2019

Plan Explanations as Model Reconciliation.
Proceedings of the 14th ACM/IEEE International Conference on Human-Robot Interaction, 2019

Explicability? Legibility? Predictability? Transparency? Privacy? Security? The Emerging Landscape of Interpretable Agent Behavior.
Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling, 2019

2018
Hierarchical Expertise-Level Modeling for User Specific Robot-Behavior Explanations.
CoRR, 2018

Plan Explanations as Model Reconciliation - An Empirical Study.
CoRR, 2018

Projection-Aware Task Planning and Execution for Human-in-the-Loop Operation of Robots in a Mixed-Reality Workspace.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Hierarchical Expertise Level Modeling for User Specific Contrastive Explanations.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Explicability versus Explanations in Human-Aware Planning.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Handling Model Uncertainty and Multiplicity in Explanations via Model Reconciliation.
Proceedings of the Twenty-Eighth International Conference on Automated Planning and Scheduling, 2018

2017
Explanation Generation as Model Reconciliation in Multi-Model Planning.
CoRR, 2017

Alternative Modes of Interaction in Proximal Human-in-the-Loop Operation of Robots.
CoRR, 2017

Robust planning with incomplete domain models.
Artif. Intell., 2017

Plan Explanations as Model Reconciliation: Moving Beyond Explanation as Soliloquy.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Plan explicability and predictability for robot task planning.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Explanations as Model Reconciliation - A Multi-Agent Perspective.
Proceedings of the 2017 AAAI Fall Symposia, Arlington, Virginia, USA, November 9-11, 2017, 2017

Balancing Explicability and Explanation in Human-Aware Planning.
Proceedings of the 2017 AAAI Fall Symposia, Arlington, Virginia, USA, November 9-11, 2017, 2017

RADAR - A Proactive Decision Support System for Human-in-the-Loop Planning.
Proceedings of the 2017 AAAI Fall Symposia, Arlington, Virginia, USA, November 9-11, 2017, 2017

2016
Compliant Conditions for Polynomial Time Approximation of Operator Counts.
Proceedings of the Ninth Annual Symposium on Combinatorial Search, 2016

A Formal Analysis of Required Cooperation in Multi-Agent Planning.
Proceedings of the Twenty-Sixth International Conference on Automated Planning and Scheduling, 2016

2015
Capability Models and Their Applications in Planning.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015


  Loading...