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Rishi Shah
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2020 – today
- 2024
- [j1]Charlie Bristow, Lucy K. Buck, Rishi Shah:
Using Ground-Penetrating Radar (GPR) to Investigate the Exceptionally Thick Deposits from the Storegga Tsunami in Northeastern Scotland. Remote. Sens. 16(11): 2042 (2024) - [c8]Rishi Shah, Krishnanshu Jain, Sahil Manchanda, Sourav Medya, Sayan Ranu:
NeuroCut: A Neural Approach for Robust Graph Partitioning. KDD 2024: 2584-2595 - 2023
- [c7]Aniket Modi, Rishi Shah, Krishnanshu Jain, Rohit Verma, Rajeev Shorey, Huzur Saran:
Multi-Agent Packet Routing (MAPR): Co-Operative Packet Routing Algorithm with Multi-Agent Reinforcement Learning. COMSNETS 2023: 722-730 - [c6]Trevor Powers, Elaheh Hatamimajoumerd, William Chu, Vishakk Rajendran, Rishi Shah, Frank Diabour, Marc Vaillant, Richard Fletcher, Sarah Ostadabbas:
Vision-Based Treatment Localization with Limited Data: Automated Documentation of Military Emergency Medical Procedures. ICCV (Workshops) 2023: 1811-1820 - [i5]Rishi Shah, Krishnanshu Jain, Sahil Manchanda, Sourav Medya, Sayan Ranu:
NeuroCUT: A Neural Approach for Robust Graph Partitioning. CoRR abs/2310.11787 (2023) - 2021
- [c5]Yuqian Jiang, Suda Bharadwaj, Bo Wu, Rishi Shah, Ufuk Topcu, Peter Stone:
Temporal-Logic-Based Reward Shaping for Continuing Reinforcement Learning Tasks. AAAI 2021: 7995-8003 - 2020
- [c4]Rishi Shah, Yuqian Jiang, Justin W. Hart, Peter Stone:
Deep R-Learning for Continual Area Sweeping. IROS 2020: 5542-5547 - [i4]Rishi Shah, Yuqian Jiang, Justin W. Hart, Peter Stone:
Deep R-Learning for Continual Area Sweeping. CoRR abs/2006.00589 (2020) - [i3]Yuqian Jiang, Sudarshanan Bharadwaj, Bo Wu, Rishi Shah, Ufuk Topcu, Peter Stone:
Temporal-Logic-Based Reward Shaping for Continuing Learning Tasks. CoRR abs/2007.01498 (2020)
2010 – 2019
- 2019
- [c3]Mohit Bansal, Tanmay Gadgil, Rishi Shah, Parag Verma:
Medical Visual Question Answering at Image CLEF 2019- VQA Med. CLEF (Working Notes) 2019 - [i2]Rishi Shah, Yuqian Jiang, Haresh Karnan, Gilberto Briscoe-Martinez, Dominick Mulder, Ryan Gupta, Rachel Schlossman, Marika Murphy, Justin W. Hart, Luis Sentis, Peter Stone:
Solving Service Robot Tasks: UT Austin Villa@Home 2019 Team Report. CoRR abs/1909.06529 (2019) - 2018
- [c2]Justin W. Hart, Rishi Shah, Sean Kirmani, Nick Walker, Kathryn Baldauf, Nathan John, Peter Stone:
PRISM: Pose Registration for Integrated Semantic Mapping. IROS 2018: 896-902 - [i1]Justin W. Hart, Harel Yedidsion, Yuqian Jiang, Nick Walker, Rishi Shah, Jesse Thomason, Aishwarya Padmakumar, Rolando Fernandez, Jivko Sinapov, Raymond J. Mooney, Peter Stone:
Interaction and Autonomy in RoboCup@Home and Building-Wide Intelligence. CoRR abs/1810.02919 (2018) - 2017
- [c1]Maxwell Svetlik, Matteo Leonetti, Jivko Sinapov, Rishi Shah, Nick Walker, Peter Stone:
Automatic Curriculum Graph Generation for Reinforcement Learning Agents. AAAI 2017: 2590-2596
Coauthor Index
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