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2020 – today
- 2023
[c5]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- [i10]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) - [i9]Aditi Mishra, Utkarsh Soni, Anjana Arunkumar, Jinbin Huang, Bum Chul Kwon, Chris Bryan:
PromptAid: Prompt Exploration, Perturbation, Testing and Iteration using Visual Analytics for Large Language Models. CoRR abs/2304.01964 (2023) - 2022
- [c4]Aditi Mishra, Utkarsh Soni, Jinbin Huang, Chris Bryan:
Why? Why not? When? Visual Explanations of Agent Behaviour in Reinforcement Learning. PacificVis 2022: 111-120 - [c3]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 - [i8]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) - 2021
- [j2]Hang Chen
, Utkarsh Soni, Yafeng Lu, Vahan Huroyan, Ross Maciejewski, Stephen G. Kobourov:
Same Stats, Different Graphs: Exploring the Space of Graphs in Terms of Graph Properties. IEEE Trans. Vis. Comput. Graph. 27(3): 2056-2072 (2021) - [c2]Utkarsh Soni, Sarath Sreedharan, Subbarao Kambhampati:
Not all users are the same: Providing personalized explanations for sequential decision making problems. IROS 2021: 6240-6247 - [i7]Aditi Mishra, Utkarsh Soni, Jinbin Huang, Chris Bryan:
Why? Why not? When? Visual Explanations of Agent Behavior in Reinforcement Learning. CoRR abs/2104.02818 (2021) - [i6]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) - [i5]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) - 2020
- [i4]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) - [i3]Sriram Gopalakrishnan, Utkarsh Soni:
Let Me At Least Learn What You Really Like: Dealing With Noisy Humans When Learning Preferences. CoRR abs/2002.06288 (2020)
2010 – 2019
- 2019
- [i2]Hang Chen, Vahan Huroyan, Utkarsh Soni, Yafeng Lu, Ross Maciejewski, Stephen G. Kobourov:
Same Stats, Different Graphs: Exploring the Space of Graphs in Terms of Graph Properties. CoRR abs/1911.01527 (2019) - 2018
- [j1]Utkarsh Soni, Yafeng Lu, Brett Hansen, Helen C. Purchase, Stephen G. Kobourov, Ross Maciejewski:
The Perception of Graph Properties in Graph Layouts. Comput. Graph. Forum 37(3): 169-181 (2018) - [c1]Hang Chen, Utkarsh Soni, Yafeng Lu, Ross Maciejewski, Stephen G. Kobourov:
Same Stats, Different Graphs - (Graph Statistics and Why We Need Graph Drawings). GD 2018: 463-477 - [i1]Hang Chen, Utkarsh Soni, Yafeng Lu, Ross Maciejewski, Stephen G. Kobourov:
Same Stats, Different Graphs (Graph Statistics and Why We Need Graph Drawings). CoRR abs/1808.09913 (2018)
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