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ORCIDSubbarao Kambhampati
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- affiliation: Arizona State University, Tempe, Arizona, USA
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2020 – today
- 2023
[c183]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- [c182]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 - [c181]Zahra Zahedi
, Mudit Verma, Sarath Sreedharan, Subbarao Kambhampati:
Trust-Aware Planning: Modeling Trust Evolution in Iterated Human-Robot Interaction. HRI 2023: 281-289 - [i105]Zahra Zahedi, Sarath Sreedharan, Subbarao Kambhampati:
A Mental Model Based Theory of Trust. CoRR abs/2301.12569 (2023) - [i104]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) - [i103]Mudit Verma, Subbarao Kambhampati:
Data Driven Reward Initialization for Preference based Reinforcement Learning. CoRR abs/2302.08733 (2023) - [i102]Mudit Verma, Subbarao Kambhampati:
A State Augmentation based approach to Reinforcement Learning from Human Preferences. CoRR abs/2302.08734 (2023) - [i101]Mudit Verma, Siddhant Bhambri, Subbarao Kambhampati:
Exploiting Unlabeled Data for Feedback Efficient Human Preference based Reinforcement Learning. CoRR abs/2302.08738 (2023) - [i100]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) - 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]Anagha Kulkarni, Siddharth Srivastava, Subbarao Kambhampati:
Balancing Goal Obfuscation and Goal Legibility in Settings with Cooperative and Adversarial Observers. CoRR abs/1905.10672 (2019) - [i62]Hankz Hankui Zhuo, Jing Peng, Subbarao Kambhampati:
Learning Action Models from Disordered and Noisy Plan Traces. CoRR abs/1908.09800 (2019) - [i61]Subbarao Kambhampati:
Challenges of Human-Aware AI Systems. CoRR abs/1910.07089 (2019) - 2018
- [c147]Sailik Sengupta, Tathagata Chakraborti, Subbarao Kambhampati:
MTDeep: Boosting the Security of Deep Neural Nets Against Adversarial Attacks with Moving Target Defense. AAAI Workshops 2018: 376-383 - [c146]Lydia Manikonda, Aditya Deotale, Subbarao Kambhampati:
What's up with Privacy?: User Preferences and Privacy Concerns in Intelligent Personal Assistants. AIES 2018: 229-235 - [c145]Sarath Sreedharan, Tathagata Chakraborti, Subbarao Kambhampati:
Handling Model Uncertainty and Multiplicity in Explanations via Model Reconciliation. ICAPS 2018: 518-526 - [c144]Yantian Zha, Yikang Li, Sriram Gopalakrishnan, Baoxin Li, Subbarao Kambhampati:
Recognizing Plans by Learning Embeddings from Observed Action Distributions. AAMAS 2018: 2153-2155 - [c143]Tathagata Chakraborti, Sarath Sreedharan, Subbarao Kambhampati:
Explicability versus Explanations in Human-Aware Planning. AAMAS 2018: 2180-2182 - [c142]Sailik Sengupta, Ankur Chowdhary, Dijiang Huang, Subbarao Kambhampati:
Moving Target Defense for the Placement of Intrusion Detection Systems in the Cloud. GameSec 2018: 326-345 - [c141]Lydia Manikonda, Subbarao Kambhampati:
Tweeting AI: Perceptions of Lay versus Expert Twitterati. ICWSM 2018: 652-655 - [c140]Wenfeng Feng, Hankz Hankui Zhuo, Subbarao Kambhampati:
Extracting Action Sequences from Texts Based on Deep Reinforcement Learning. IJCAI 2018: 4064-4070 - [c139]Sarath Sreedharan, Siddharth Srivastava, Subbarao Kambhampati:
Hierarchical Expertise Level Modeling for User Specific Contrastive Explanations. IJCAI 2018: 4829-4836 - [c138]Tathagata Chakraborti, Sarath Sreedharan, Anagha Kulkarni, Subbarao Kambhampati:
Projection-Aware Task Planning and Execution for Human-in-the-Loop Operation of Robots in a Mixed-Reality Workspace. IROS 2018: 4476-4482 - [c137]Lydia Manikonda, Ghazaleh Beigi, Subbarao Kambhampati, Huan Liu:
#metoo Through the Lens of Social Media. SBP-BRiMS 2018: 104-110 - [i60]Tathagata Chakraborti, Subbarao Kambhampati:
Algorithms for the Greater Good! On Mental Modeling and Acceptable Symbiosis in Human-AI Collaboration. CoRR abs/1801.09854 (2018) - [i59]Tathagata Chakraborti, Sarath Sreedharan, Sachin Grover, Subbarao Kambhampati:
Plan Explanations as Model Reconciliation - An Empirical Study. CoRR abs/1802.01013 (2018) - [i58]Anagha Kulkarni, Siddharth Srivastava, Subbarao Kambhampati:
Implicit Robot-Human Communication in Adversarial and Collaborative Environments. CoRR abs/1802.06137 (2018) - [i57]Sarath Sreedharan, Siddharth Srivastava, Subbarao Kambhampati:
Hierarchical Expertise-Level Modeling for User Specific Robot-Behavior Explanations. CoRR abs/1802.06895 (2018) - [i56]Hankz Hankui Zhuo, Yantian Zha, Subbarao Kambhampati:
Discovering Underlying Plans Based on Shallow Models. CoRR abs/1803.02208 (2018) - [i55]Wenfeng Feng, Hankz Hankui Zhuo, Subbarao Kambhampati:
Extracting Action Sequences from Texts Based on Deep Reinforcement Learning. CoRR abs/1803.02632 (2018) - [i54]Lydia Manikonda, Ghazaleh Beigi, Huan Liu, Subbarao Kambhampati:
Twitter for Sparking a Movement, Reddit for Sharing the Moment: #metoo through the Lens of Social Media. CoRR abs/1803.08022 (2018) - [i53]Niharika Jain, Lydia Manikonda, Alberto Olmo Hernandez, Sailik Sengupta, Subbarao Kambhampati:
Imagining an Engineer: On GAN-Based Data Augmentation Perpetuating Biases. CoRR abs/1811.03751 (2018) - [i52]Tathagata Chakraborti, Anagha Kulkarni, Sarath Sreedharan, David E. Smith, Subbarao Kambhampati:
Explicability? Legibility? Predictability? Transparency? Privacy? Security? The Emerging Landscape of Interpretable Agent Behavior. CoRR abs/1811.09722 (2018) - [i51]Sriram Gopalakrishnan, Subbarao Kambhampati:
TGE-viz : Transition Graph Embedding for Visualization of Plan Traces and Domains. CoRR abs/1811.09900 (2018) - [i50]Yantian Zha, Yikang Li, Tianshu Yu, Subbarao Kambhampati, Baoxin Li:
Plan-Recognition-Driven Attention Modeling for Visual Recognition. CoRR abs/1812.00301 (2018) - [i49]Ankur Chowdhary, Sailik Sengupta, Dijiang Huang, Subbarao Kambhampati:
Markov Game Modeling of Moving Target Defense for Strategic Detection of Threats in Cloud Networks. CoRR abs/1812.09660 (2018) - 2017
- [j53]Tuan Nguyen, Sarath Sreedharan, Subbarao Kambhampati:
Robust planning with incomplete domain models. Artif. Intell. 245: 134-161 (2017) - [j52]Hankz Hankui Zhuo, Subbarao Kambhampati:
Model-lite planning: Case-based vs. model-based approaches. Artif. Intell. 246: 1-21 (2017) - [j51]Lydia Manikonda, Tathagata Chakraborti, Kartik Talamadupula, Subbarao Kambhampati:
Herding the Crowd: Using Automated Planning for Better Crowdsourced Planning. Hum. Comput. 4(1): 25-46 (2017) - [c136]Tathagata Chakraborti, Kartik Talamadupula, Kshitij P. Fadnis, Murray Campbell, Subbarao Kambhampati:
UbuntuWorld 1.0 LTS - A Platform for Automated Problem Solving & Troubleshooting in the Ubuntu OS. AAAI 2017: 4657-4663 - [c135]Sarath Sreedharan, Tathagata Chakraborti, Subbarao Kambhampati:
Balancing Explicability and Explanation in Human-Aware Planning. AAAI Fall Symposia 2017: 61-68 - [c134]