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ORCIDSubbarao Kambhampati
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- affiliation: Arizona State University, Tempe, Arizona, USA
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2020 – today
- 2024
[j64]Sarath Sreedharan
, Tathagata Chakraborti, Christian Muise, Subbarao Kambhampati:
Planning with mental models - Balancing explanations and explicability. Artif. Intell. 335: 104181 (2024)- [c194]Zahra Zahedi, Sailik Sengupta, Subbarao Kambhampati:
'Why Didn't You Allocate This Task to Them?' Negotiation-Aware Task Allocation and Contrastive Explanation Generation. AAAI 2024: 10243-10251 - [c193]Yantian Zha, Lin Guan, Subbarao Kambhampati:
Learning from Ambiguous Demonstrations with Self-Explanation Guided Reinforcement Learning. AAAI 2024: 10395-10403 - [c192]Mudit Verma, Siddhant Bhambri, Subbarao Kambhampati:
Theory of Mind Abilities of Large Language Models in Human-Robot Interaction: An Illusion? HRI (Companion) 2024: 36-45 - [c191]Upasana Biswas, Lin Guan, Subbarao Kambhampati:
On the Pitfalls of Learning to Cooperate with Self Play Agents Checkpointed to Capture Humans of Diverse Skill Levels. HRI (Companion) 2024: 252-256 - [c190]Subbarao Kambhampati, Karthik Valmeekam, Lin Guan, Mudit Verma, Kaya Stechly, Siddhant Bhambri, Lucas Saldyt, Anil Murthy:
Position: LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks. ICML 2024 - [i122]Mudit Verma, Siddhant Bhambri, Subbarao Kambhampati:
Theory of Mind abilities of Large Language Models in Human-Robot Interaction : An Illusion? CoRR abs/2401.05302 (2024) - [i121]Subbarao Kambhampati, Karthik Valmeekam, Lin Guan, Kaya Stechly, Mudit Verma, Siddhant Bhambri, Lucas Saldyt, Anil Murthy:
LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks. CoRR abs/2402.01817 (2024) - [i120]Lin Guan, Yifan Zhou, Denis Liu, Yantian Zha, Heni Ben Amor, Subbarao Kambhampati:
"Task Success" is not Enough: Investigating the Use of Video-Language Models as Behavior Critics for Catching Undesirable Agent Behaviors. CoRR abs/2402.04210 (2024) - [i119]Kaya Stechly, Karthik Valmeekam, Subbarao Kambhampati:
On the Self-Verification Limitations of Large Language Models on Reasoning and Planning Tasks. CoRR abs/2402.08115 (2024) - [i118]Subbarao Kambhampati:
Can Large Language Models Reason and Plan? CoRR abs/2403.04121 (2024) - [i117]Kaya Stechly, Karthik Valmeekam, Subbarao Kambhampati:
Chain of Thoughtlessness: An Analysis of CoT in Planning. CoRR abs/2405.04776 (2024) - [i116]Mudit Verma, Siddhant Bhambri, Subbarao Kambhampati:
On the Brittle Foundations of ReAct Prompting for Agentic Large Language Models. CoRR abs/2405.13966 (2024) - [i115]Siddhant Bhambri, Amrita Bhattacharjee, Huan Liu, Subbarao Kambhampati:
Efficient Reinforcement Learning via Large Language Model-based Search. CoRR abs/2405.15194 (2024) - [i114]Sarath Sreedharan, Anagha Kulkarni, Subbarao Kambhampati:
Explainable Human-AI Interaction: A Planning Perspective. CoRR abs/2405.15804 (2024) - [i113]Atharva Gundawar, Mudit Verma, Lin Guan, Karthik Valmeekam, Siddhant Bhambri, Subbarao Kambhampati:
Robust Planning with LLM-Modulo Framework: Case Study in Travel Planning. CoRR abs/2405.20625 (2024) - [i112]Lucas Saldyt, Subbarao Kambhampati:
Algorithmic Language Models with Neurally Compiled Libraries. CoRR abs/2407.04899 (2024) - 2023
- [c189]Sarath Sreedharan, Christian Muise, Subbarao Kambhampati:
Generalizing Action Justification and Causal Links to Policies. ICAPS 2023: 417-426 - [c188]Zahra Zahedi, Sailik Sengupta, Subbarao Kambhampati:
'Why didn't you allocate this task to them?' Negotiation-Aware Explicable Task Allocation and Contrastive Explanation Generation. AAMAS 2023: 2292-2294 - [c187]Tung Thai, Mudit Verma, Utkarsh Soni, Sriram Gopalakrishnan, Ming Shen, Mayank Garg, Ayush Kalani, Nakul Vaidya, Neeraj Varshney, Chitta Baral, Subbarao Kambhampati, Jivko Sinapov, Matthias Scheutz:
Methods and Mechanisms for Interactive Novelty Handling in Adversarial Environments. AAMAS 2023: 2385-2387 - [c186]Zahra Zahedi, Mudit Verma, Sarath Sreedharan, Subbarao Kambhampati:
Trust-Aware Planning: Modeling Trust Evolution in Iterated Human-Robot Interaction. HRI 2023: 281-289 - [c185]Lin Guan, Karthik Valmeekam, Subbarao Kambhampati:
Relative Behavioral Attributes: Filling the Gap between Symbolic Goal Specification and Reward Learning from Human Preferences. ICLR 2023 - [c184]Kebing Jin, Hankz Hankui Zhuo, Zhanhao Xiao, Hai Wan, Subbarao Kambhampati:
Gradient-Based Mixed Planning with Symbolic and Numeric Action Parameters (Extended Abstract). IJCAI 2023: 6915-6919 - [c183]Lin Guan, Karthik Valmeekam, Sarath Sreedharan, Subbarao Kambhampati:
Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning. NeurIPS 2023 - [c182]Karthik Valmeekam, Matthew Marquez, Alberto Olmo Hernandez, Sarath Sreedharan, Subbarao Kambhampati:
PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change. NeurIPS 2023 - [c181]Karthik Valmeekam, Matthew Marquez, Sarath Sreedharan, Subbarao Kambhampati:
On the Planning Abilities of Large Language Models - A Critical Investigation. NeurIPS 2023 - [i111]Zahra Zahedi, Sarath Sreedharan, Subbarao Kambhampati:
A Mental Model Based Theory of Trust. CoRR abs/2301.12569 (2023) - [i110]Karthik Valmeekam, Sarath Sreedharan, Matthew Marquez, Alberto Olmo Hernandez, Subbarao Kambhampati:
On the Planning Abilities of Large Language Models (A Critical Investigation with a Proposed Benchmark). CoRR abs/2302.06706 (2023) - [i109]Mudit Verma, Subbarao Kambhampati:
Data Driven Reward Initialization for Preference based Reinforcement Learning. CoRR abs/2302.08733 (2023) - [i108]Mudit Verma, Subbarao Kambhampati:
A State Augmentation based approach to Reinforcement Learning from Human Preferences. CoRR abs/2302.08734 (2023) - [i107]Mudit Verma, Siddhant Bhambri, Subbarao Kambhampati:
Exploiting Unlabeled Data for Feedback Efficient Human Preference based Reinforcement Learning. CoRR abs/2302.08738 (2023) - [i106]Tung Thai, Ming Shen, Mayank Garg, Ayush Kalani, Nakul Vaidya, Utkarsh Soni, Mudit Verma, Sriram Gopalakrishnan, Chitta Baral, Subbarao Kambhampati, Jivko Sinapov, Matthias Scheutz:
Methods and Mechanisms for Interactive Novelty Handling in Adversarial Environments. CoRR abs/2302.14208 (2023) - [i105]Lin Guan, Karthik Valmeekam, Sarath Sreedharan, Subbarao Kambhampati:
Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning. CoRR abs/2305.14909 (2023) - [i104]Karthik Valmeekam, Matthew Marquez, Sarath Sreedharan, Subbarao Kambhampati:
On the Planning Abilities of Large Language Models - A Critical Investigation. CoRR abs/2305.15771 (2023) - [i103]Daman Arora, Subbarao Kambhampati:
Learning and Leveraging Verifiers to Improve Planning Capabilities of Pre-trained Language Models. CoRR abs/2305.17077 (2023) - [i102]Karthik Valmeekam, Matthew Marquez, Subbarao Kambhampati:
Can Large Language Models Really Improve by Self-critiquing Their Own Plans? CoRR abs/2310.08118 (2023) - [i101]Kaya Stechly, Matthew Marquez, Subbarao Kambhampati:
GPT-4 Doesn't Know It's Wrong: An Analysis of Iterative Prompting for Reasoning Problems. CoRR abs/2310.12397 (2023) - [i100]Siddhant Bhambri, Mudit Verma, Anil Murthy, Subbarao Kambhampati:
Benchmarking Multi-Agent Preference-based Reinforcement Learning for Human-AI Teaming. CoRR abs/2312.14292 (2023) - 2022
- [j63]Niharika Jain, Alberto Olmo Hernandez, Sailik Sengupta, Lydia Manikonda, Subbarao Kambhampati:
Imperfect ImaGANation: Implications of GANs exacerbating biases on facial data augmentation and snapchat face lenses. Artif. Intell. 304: 103652 (2022) - [j62]Kebing Jin, Hankz Hankui Zhuo, Zhanhao Xiao, Hai Wan, Subbarao Kambhampati:
Gradient-based mixed planning with symbolic and numeric action parameters. Artif. Intell. 313: 103789 (2022) - [j61]Subbarao Kambhampati:
Changing the nature of AI research. Commun. ACM 65(9): 8-9 (2022) - [c180]Subbarao Kambhampati, Sarath Sreedharan, Mudit Verma, Yantian Zha, Lin Guan:
Symbols as a Lingua Franca for Bridging Human-AI Chasm for Explainable and Advisable AI Systems. AAAI 2022: 12262-12267 - [c179]Karthik Valmeekam, Sarath Sreedharan, Sailik Sengupta, Subbarao Kambhampati:
RADAR-X: An Interactive Mixed Initiative Planning Interface Pairing Contrastive Explanations and Revised Plan Suggestions. ICAPS 2022: 508-517 - [c178]Sriram Gopalakrishnan, Subbarao Kambhampati:
Minimizing Robot Navigation Graph for Position-Based Predictability by Humans. AAMAS 2022: 1604-1606 - [c177]Siddhant Bhambri, Purv Chauhan, Frederico Araujo, Adam Doupé, Subbarao Kambhampati:
Using Deception in Markov Game to Understand Adversarial Behaviors Through a Capture-The-Flag Environment. GameSec 2022: 87-106 - [c176]Zahra Zahedi, Sarath Sreedharan, Mudit Verma, Subbarao Kambhampati:
Modeling the Interplay between Human Trust and Monitoring. HRI 2022: 1119-1123 - [c175]Sarath Sreedharan, Utkarsh Soni, Mudit Verma, Siddharth Srivastava, Subbarao Kambhampati:
Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations. ICLR 2022 - [c174]Lin Guan, Sarath Sreedharan, Subbarao Kambhampati:
Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill Diversity. ICML 2022: 7949-7967 - [c173]Sarath Sreedharan, Pascal Bercher, Subbarao Kambhampati:
On the Computational Complexity of Model Reconciliations. IJCAI 2022: 4657-4664 - [i99]Lin Guan, Sarath Sreedharan, Subbarao Kambhampati:
Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill Diversity. CoRR abs/2202.02886 (2022) - [i98]Zahra Zahedi, Sarath Sreedharan, Subbarao Kambhampati:
A Mental-Model Centric Landscape of Human-AI Symbiosis. CoRR abs/2202.09447 (2022) - [i97]Karthik Valmeekam, Alberto Olmo Hernandez, Sarath Sreedharan, Subbarao Kambhampati:
Large Language Models Still Can't Plan (A Benchmark for LLMs on Planning and Reasoning about Change). CoRR abs/2206.10498 (2022) - [i96]Mudit Verma, Ayush Kharkwal, Subbarao Kambhampati:
Advice Conformance Verification by Reinforcement Learning agents for Human-in-the-Loop. CoRR abs/2210.03455 (2022) - [i95]Siddhant Bhambri, Purv Chauhan, Frederico Araujo, Adam Doupé, Subbarao Kambhampati:
Using Deception in Markov Game to Understand Adversarial Behaviors through a Capture-The-Flag Environment. CoRR abs/2210.15011 (2022) - [i94]Utkarsh Soni, Sarath Sreedharan, Mudit Verma, Lin Guan, Matthew Marquez, Subbarao Kambhampati:
Towards customizable reinforcement learning agents: Enabling preference specification through online vocabulary expansion. CoRR abs/2210.15096 (2022) - [i93]Lin Guan, Karthik Valmeekam, Subbarao Kambhampati:
Relative Behavioral Attributes: Filling the Gap between Symbolic Goal Specification and Reward Learning from Human Preferences. CoRR abs/2210.15906 (2022) - 2021
- [j60]Sarath Sreedharan, Tathagata Chakraborti, Subbarao Kambhampati:
Foundations of explanations as model reconciliation. Artif. Intell. 301: 103558 (2021) - [j59]Sarath Sreedharan, Siddharth Srivastava, Subbarao Kambhampati:
Using state abstractions to compute personalized contrastive explanations for AI agent behavior. Artif. Intell. 301: 103570 (2021) - [j58]Subbarao Kambhampati:
Polanyi's revenge and AI's new romance with tacit knowledge. Commun. ACM 64(2): 31-32 (2021) - [c172]Karthik Valmeekam, Sarath Sreedharan, Sailik Sengupta, Subbarao Kambhampati:
RADAR-X: An Interactive Interface Pairing Contrastive Explanations with Revised Plan Suggestions. AAAI 2021: 16051-16053 - [c171]Frederico Araujo, Sailik Sengupta, Jiyong Jang, Adam Doupé, Kevin W. Hamlen, Subbarao Kambhampati:
Software Deception Steering through Version Emulation. HICSS 2021: 1-10 - [c170]Sarath Sreedharan, Anagha Kulkarni, David E. Smith, Subbarao Kambhampati:
A Unifying Bayesian Formulation of Measures of Interpretability in Human-AI Interaction. IJCAI 2021: 4602-4610 - [c169]Utkarsh Soni, Sarath Sreedharan, Subbarao Kambhampati:
Not all users are the same: Providing personalized explanations for sequential decision making problems. IROS 2021: 6240-6247 - [c168]Lin Guan, Mudit Verma, Sihang Guo, Ruohan Zhang, Subbarao Kambhampati:
Widening the Pipeline in Human-Guided Reinforcement Learning with Explanation and Context-Aware Data Augmentation. NeurIPS 2021: 21885-21897 - [i92]Zahra Zahedi, Subbarao Kambhampati:
Human-AI Symbiosis: A Survey of Current Approaches. CoRR abs/2103.09990 (2021) - [i91]Sarath Sreedharan, Anagha Kulkarni, David E. Smith, Subbarao Kambhampati:
A Unifying Bayesian Formulation of Measures of Interpretability in Human-AI. CoRR abs/2104.10743 (2021) - [i90]Anagha Kulkarni, Siddharth Srivastava, Subbarao Kambhampati:
Planning for Proactive Assistance in Environments with Partial Observability. CoRR abs/2105.00525 (2021) - [i89]Zahra Zahedi, Mudit Verma, Sarath Sreedharan, Subbarao Kambhampati:
Trust-Aware Planning: Modeling Trust Evolution in Longitudinal Human-Robot Interaction. CoRR abs/2105.01220 (2021) - [i88]Alberto Olmo Hernandez, Sarath Sreedharan, Subbarao Kambhampati:
GPT3-to-plan: Extracting plans from text using GPT-3. CoRR abs/2106.07131 (2021) - [i87]Utkarsh Soni, Sarath Sreedharan, Subbarao Kambhampati:
Not all users are the same: Providing personalized explanations for sequential decision making problems. CoRR abs/2106.12207 (2021) - [i86]Sriram Gopalakrishnan, Utkarsh Soni, Tung Thai, Panagiotis Lymperopoulos, Matthias Scheutz, Subbarao Kambhampati:
Integrating Planning, Execution and Monitoring in the presence of Open World Novelties: Case Study of an Open World Monopoly Solver. CoRR abs/2107.04303 (2021) - [i85]Sriram Gopalakrishnan, Mudit Verma, Subbarao Kambhampati:
Synthesizing Policies That Account For Human Execution Errors Caused By State-Aliasing In Markov Decision Processes. CoRR abs/2109.07436 (2021) - [i84]Subbarao Kambhampati, Sarath Sreedharan, Mudit Verma, Yantian Zha, Lin Guan:
Symbols as a Lingua Franca for Bridging Human-AI Chasm for Explainable and Advisable AI Systems. CoRR abs/2109.09904 (2021) - [i83]Yantian Zha, Lin Guan, Subbarao Kambhampati:
Learning from Ambiguous Demonstrations with Self-Explanation Guided Reinforcement Learning. CoRR abs/2110.05286 (2021) - [i82]Kebing Jin, Hankz Hankui Zhuo, Zhanhao Xiao, Hai Wan, Subbarao Kambhampati:
Gradient-Based Mixed Planning with Discrete and Continuous Actions. CoRR abs/2110.10007 (2021) - 2020
- [j57]Subbarao Kambhampati:
Challenges of Human-Aware AI Systems AAAI Presidential Address. AI Mag. 41(3): 3-17 (2020) - [j56]Sailik Sengupta, Ankur Chowdhary, Abdulhakim Sabur, Adel Alshamrani, Dijiang Huang, Subbarao Kambhampati:
A Survey of Moving Target Defenses for Network Security. IEEE Commun. Surv. Tutorials 22(3): 1909-1941 (2020) - [j55]Sachin Grover, Sailik Sengupta, Tathagata Chakraborti, Aditya Prasad Mishra, Subbarao Kambhampati:
RADAR: automated task planning for proactive decision support. Hum. Comput. Interact. 35(5-6): 387-412 (2020) - [j54]Hankz Hankui Zhuo, Yantian Zha, Subbarao Kambhampati, Xin Tian:
Discovering Underlying Plans Based on Shallow Models. ACM Trans. Intell. Syst. Technol. 11(2): 18:1-18:30 (2020) - [c167]Sarath Sreedharan, Tathagata Chakraborti, Christian Muise, Subbarao Kambhampati:
Hierarchical Expertise-Level Modeling for User Specific Robot-Behavior Explanations. AAAI 2020: 2518-2526 - [c166]Sarath Sreedharan, Siddharth Srivastava, Subbarao Kambhampati:
TLdR: Policy Summarization for Factored SSP Problems Using Temporal Abstractions. ICAPS 2020: 272-280 - [c165]Sarath Sreedharan, Tathagata Chakraborti, Christian Muise, Yasaman Khazaeni, Subbarao Kambhampati:
- D3WA+ - A Case Study of XAIP in a Model Acquisition Task for Dialogue Planning. ICAPS 2020: 488-498 - [c164]Anagha Kulkarni, Siddharth Srivastava, Subbarao Kambhampati:
Signaling Friends and Head-Faking Enemies Simultaneously: Balancing Goal Obfuscation and Goal Legibility. AAMAS 2020: 1889-1891 - [c163]Subbarao Kambhampati:
Conference Keynote Synthesizing Interpretable Behavior for Human-Aware AI Systems. CogMI 2020: xix - [c162]Sailik Sengupta, Kaustav Basu, Arunabha Sen, Subbarao Kambhampati:
Moving Target Defense for Robust Monitoring of Electric Grid Transformers in Adversarial Environments. GameSec 2020: 241-253 - [c161]Tathagata Chakraborti, Sarath Sreedharan, Subbarao Kambhampati:
The Emerging Landscape of Explainable Automated Planning & Decision Making. IJCAI 2020: 4803-4811 - [c160]Anagha Kulkarni, Sarath Sreedharan, Sarah Keren, Tathagata Chakraborti, David E. Smith, Subbarao Kambhampati:
Designing Environments Conducive to Interpretable Robot Behavior. IROS 2020: 10982-10989 - [i81]Niharika Jain, Alberto Olmo Hernandez, Sailik Sengupta, Lydia Manikonda, Subbarao Kambhampati:
Imperfect ImaGANation: Implications of GANs Exacerbating Biases on Facial Data Augmentation and Snapchat Selfie Lenses. CoRR abs/2001.09528 (2020) - [i80]Sarath Sreedharan, Utkarsh Soni, Mudit Verma, Siddharth Srivastava, Subbarao Kambhampati:
Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Black Box Simulators. CoRR abs/2002.01080 (2020) - [i79]Zahra Zahedi, Sailik Sengupta, Subbarao Kambhampati:
'Why not give this work to them?' Explaining AI-Moderated Task-Allocation Outcomes using Negotiation Trees. CoRR abs/2002.01640 (2020) - [i78]Tathagata Chakraborti, Sarath Sreedharan, Subbarao Kambhampati:
The Emerging Landscape of Explainable AI Planning and Decision Making. CoRR abs/2002.11697 (2020) - [i77]Lin Guan, Mudit Verma, Subbarao Kambhampati:
Explanation Augmented Feedback in Human-in-the-Loop Reinforcement Learning. CoRR abs/2006.14804 (2020) - [i76]Alberto Olmo Hernandez, Sailik Sengupta, Subbarao Kambhampati:
Not all Failure Modes are Created Equal: Training Deep Neural Networks for Explicable (Mis)Classification. CoRR abs/2006.14841 (2020) - [i75]Anagha Kulkarni, Sarath Sreedharan, Sarah Keren, Tathagata Chakraborti, David E. Smith, Subbarao Kambhampati:
Designing Environments Conducive to Interpretable Robot Behavior. CoRR abs/2007.00820 (2020) - [i74]Sailik Sengupta, Subbarao Kambhampati:
Multi-agent Reinforcement Learning in Bayesian Stackelberg Markov Games for Adaptive Moving Target Defense. CoRR abs/2007.10457 (2020) - [i73]Sailik Sengupta, Kaustav Basu, Arunabha Sen, Subbarao Kambhampati:
Moving Target Defense for Robust Monitoring of Electric Grid Transformers in Adversarial Environments. CoRR abs/2010.03713 (2020) - [i72]Sriram Gopalakrishnan, Subbarao Kambhampati:
Model Minimization For Online Predictability. CoRR abs/2010.15255 (2020) - [i71]Karthik Valmeekam, Sarath Sreedharan, Sailik Sengupta, Subbarao Kambhampati:
RADAR-X: An Interactive Interface Pairing Contrastive Explanations with Revised Plan Suggestions. CoRR abs/2011.09644 (2020) - [i70]Sarath Sreedharan, Anagha Kulkarni, Tathagata Chakraborti, David E. Smith, Subbarao Kambhampati:
A Bayesian Account of Measures of Interpretability in Human-AI Interaction. CoRR abs/2011.10920 (2020) - [i69]Sachin Grover, David E. Smith, Subbarao Kambhampati:
Model Elicitation through Direct Questioning. CoRR abs/2011.12262 (2020)
2010 – 2019
- 2019
- [c159]Anagha Kulkarni, Siddharth Srivastava, Subbarao Kambhampati:
A Unified Framework for Planning in Adversarial and Cooperative Environments. AAAI 2019: 2479-2487 - [c158]Tathagata Chakraborti, Subbarao Kambhampati:
(When) Can AI Bots Lie? AIES 2019: 53-59 - [c157]Tathagata Chakraborti, Anagha Kulkarni, Sarath Sreedharan, David E. Smith, Subbarao Kambhampati:
Explicability? Legibility? Predictability? Transparency? Privacy? Security? The Emerging Landscape of Interpretable Agent Behavior. ICAPS 2019: 86-96 - [c156]Subbarao Kambhampati:
Synthesizing Explainable Behavior for Human-AI Collaboration. AAMAS 2019: 1-2 - [c155]Anagha Kulkarni, Yantian Zha, Tathagata Chakraborti, Satya Gautam Vadlamudi, Yu Zhang, Subbarao Kambhampati:
Explicable Planning as Minimizing Distance from Expected Behavior. AAMAS 2019: 2075-2077 - [c154]Sailik Sengupta, Tathagata Chakraborti, Subbarao Kambhampati:
MTDeep: Boosting the Security of Deep Neural Nets Against Adversarial Attacks with Moving Target Defense. GameSec 2019: 479-491 - [c153]Sailik Sengupta, Ankur Chowdhary, Dijiang Huang, Subbarao Kambhampati:
General Sum Markov Games for Strategic Detection of Advanced Persistent Threats Using Moving Target Defense in Cloud Networks. GameSec 2019: 492-512 - [c152]Tathagata Chakraborti, Sarath Sreedharan, Sachin Grover, Subbarao Kambhampati:
Plan Explanations as Model Reconciliation. HRI 2019: 258-266 - [c151]Zahra Zahedi, Alberto Olmo Hernandez, Tathagata Chakraborti, Sarath Sreedharan, Subbarao Kambhampati:
Towards Understanding User Preferences for Explanation Types in Model Reconciliation. HRI 2019: 648-649 - [c150]Sarath Sreedharan, Alberto Olmo Hernandez, Aditya Prasad Mishra, Subbarao Kambhampati:
Model-Free Model Reconciliation. IJCAI 2019: 587-594 - [c149]Tathagata Chakraborti, Sarath Sreedharan, Subbarao Kambhampati:
Balancing Explicability and Explanations in Human-Aware Planning. IJCAI 2019: 1335-1343 - [c148]Sarath Sreedharan, Siddharth Srivastava, David E. Smith, Subbarao Kambhampati:
Why Can't You Do That HAL? Explaining Unsolvability of Planning Tasks. IJCAI 2019: 1422-1430 - [i68]Sailik Sengupta, Zahra Zahedi, Subbarao Kambhampati:
To Monitor or to Trust: Observing Robot's Behavior based on a Game-Theoretic Model of Trust. CoRR abs/1903.00111 (2019) - [i67]Sarath Sreedharan, Alberto Olmo Hernandez, Aditya Prasad Mishra, Subbarao Kambhampati:
Model-Free Model Reconciliation. CoRR abs/1903.07198 (2019) - [i66]Sarath Sreedharan, Tathagata Chakraborti, Christian Muise, Subbarao Kambhampati:
Planning with Explanatory Actions: A Joint Approach to Plan Explicability and Explanations in Human-Aware Planning. CoRR abs/1903.07269 (2019) - [i65]Sarath Sreedharan, Siddharth Srivastava, David E. Smith, Subbarao Kambhampati:
Why Couldn't You do that? Explaining Unsolvability of Classical Planning Problems in the Presence of Plan Advice. CoRR abs/1903.08218 (2019) - [i64]Sailik Sengupta, Ankur Chowdhary, Abdulhakim Sabur, Dijiang Huang, Adel Alshamrani, Subbarao Kambhampati:
A Survey of Moving Target Defenses for Network Security. CoRR abs/1905.00964 (2019) - [i63]