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Rohan R. Paleja
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2020 – today
- 2024
- [j4]Esmaeil Seraj, Kin Man Lee, Zulfiqar Zaidi, Qingyu Xiao, Zhaoxin Li, Arthur Nascimento, Sanne van Waveren, Pradyumna Tambwekar, Rohan R. Paleja, Devleena Das, Matthew C. Gombolay:
Interactive and Explainable Robot Learning: A Comprehensive Review. Found. Trends Robotics 12(2-3): 75-349 (2024) - [j3]Esmaeil Seraj, Rohan R. Paleja, Luis Pimentel, Kin Man Lee, Zheyuan Wang, Daniel Martin, Matthew Sklar, John Z. Zhang, Zahi M. Kakish, Matthew C. Gombolay:
Heterogeneous Policy Networks for Composite Robot Team Communication and Coordination. IEEE Trans. Robotics 40: 3833-3849 (2024) - [c15]Sam L. Polk, Eric J. Pabon Cancel, Rohan R. Paleja, Kimberlee Chestnut Chang, Reed Jensen, Mabel D. Ramirez:
Unsupervised Behavior Inference From Human Action Sequences. CoG 2024: 1-8 - [i18]Rohan R. Paleja, Michael Munje, Kimberlee Chestnut Chang, Reed Jensen, Matthew C. Gombolay:
Designs for Enabling Collaboration in Human-Machine Teaming via Interactive and Explainable Systems. CoRR abs/2406.05003 (2024) - [i17]Zhaoxin Li, Letian Chen, Rohan R. Paleja, Subramanya Nageshrao, Matthew C. Gombolay:
Faster Model Predictive Control via Self-Supervised Initialization Learning. CoRR abs/2408.03394 (2024) - 2023
- [j2]Zulfiqar Zaidi, Daniel Martin, Nathaniel Belles, Viacheslav Zakharov, Arjun Krishna, Kin Man Lee, Peter Wagstaff, Sumedh Naik, Matthew Sklar, Sugju Choi, Yoshiki Kakehi, Ruturaj Patil, Divya Mallemadugula, Florian Pesce, Peter Wilson, Wendell Hom, Matan Diamond, Bryan Zhao, Nina Moorman, Rohan R. Paleja, Letian Chen, Esmaeil Seraj, Matthew C. Gombolay:
Athletic Mobile Manipulator System for Robotic Wheelchair Tennis. IEEE Robotics Autom. Lett. 8(4): 2245-2252 (2023) - [c14]Kin Man Lee, Arjun Krishna, Zulfiqar Zaidi, Rohan R. Paleja, Letian Chen, Erin Hedlund-Botti, Mariah Schrum, Matthew C. Gombolay:
The Effect of Robot Skill Level and Communication in Rapid, Proximate Human-Robot Collaboration. HRI 2023: 261-270 - [c13]Sean Ye, Manisha Natarajan, Zixuan Wu, Rohan R. Paleja, Letian Chen, Matthew C. Gombolay:
Learning Models of Adversarial Agent Behavior Under Partial Observability. IROS 2023: 3688-3695 - [c12]Zixuan Wu, Sean Ye, Manisha Natarajan, Letian Chen, Rohan R. Paleja, Matthew C. Gombolay:
Adversarial Search and Tracking with Multiagent Reinforcement Learning in Sparsely Observable Environment. MRS 2023: 43-49 - [i16]Kin Man Lee, Arjun Krishna, Zulfiqar Zaidi, Rohan R. Paleja, Letian Chen, Erin Hedlund-Botti, Mariah Schrum, Matthew C. Gombolay:
The Effect of Robot Skill Level and Communication in Rapid, Proximate Human-Robot Collaboration. CoRR abs/2304.03756 (2023) - [i15]Sean Ye, Manisha Natarajan, Zixuan Wu, Rohan R. Paleja, Letian Chen, Matthew C. Gombolay:
Learning Models of Adversarial Agent Behavior under Partial Observability. CoRR abs/2306.11168 (2023) - [i14]Zixuan Wu, Sean Ye, Manisha Natarajan, Letian Chen, Rohan R. Paleja, Matthew C. Gombolay:
Adversarial Search and Track with Multiagent Reinforcement Learning in Sparsely Observable Environment. CoRR abs/2306.11301 (2023) - [i13]Rohan R. Paleja, Letian Chen, Yaru Niu, Andrew Silva, Zhaoxin Li, Songan Zhang, Chace Ritchie, Sugju Choi, Kimberlee Chestnut Chang, Hongtei Eric Tseng, Yan Wang, Subramanya Nageshrao, Matthew C. Gombolay:
Interpretable Reinforcement Learning for Robotics and Continuous Control. CoRR abs/2311.10041 (2023) - 2022
- [j1]Roger D. Dias, Marco A. Zenati, Geoffrey Rance, Srey Rithy, David Arney, Letian Chen, Rohan R. Paleja, Lauren R. Kennedy-Metz, Matthew C. Gombolay:
Using machine learning to predict perfusionists' critical decision-making during cardiac surgery. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 10(3): 308-312 (2022) - [c11]Rohan R. Paleja:
Mutual Understanding in Human-Machine Teaming. AAAI 2022: 12896-12897 - [c10]Esmaeil Seraj, Zheyuan Wang, Rohan R. Paleja, Daniel Martin, Matthew Sklar, Anirudh Patel, Matthew C. Gombolay:
Learning Efficient Diverse Communication for Cooperative Heterogeneous Teaming. AAMAS 2022: 1173-1182 - [c9]Letian Chen, Sravan Jayanthi, Rohan R. Paleja, Daniel Martin, Viacheslav Zakharov, Matthew C. Gombolay:
Fast Lifelong Adaptive Inverse Reinforcement Learning from Demonstrations. CoRL 2022: 2083-2094 - [c8]Rohan R. Paleja, Yaru Niu, Andrew Silva, Chace Ritchie, Sugju Choi, Matthew C. Gombolay:
Learning Interpretable, High-Performing Policies for Autonomous Driving. Robotics: Science and Systems 2022 - [i12]Rohan R. Paleja, Yaru Niu, Andrew Silva, Chace Ritchie, Sugju Choi, Matthew C. Gombolay:
Learning Interpretable, High-Performing Policies for Continuous Control Problems. CoRR abs/2202.02352 (2022) - [i11]Rohan R. Paleja, Muyleng Ghuy, Nadun Ranawaka Arachchige, Reed Jensen, Matthew C. Gombolay:
The Utility of Explainable AI in Ad Hoc Human-Machine Teaming. CoRR abs/2209.03943 (2022) - [i10]Letian Chen, Sravan Jayanthi, Rohan R. Paleja, Daniel Martin, Viacheslav Zakharov, Matthew C. Gombolay:
Fast Lifelong Adaptive Inverse Reinforcement Learning from Demonstrations. CoRR abs/2209.11908 (2022) - [i9]Zulfiqar Zaidi, Daniel Martin, Nathaniel Belles, Viacheslav Zakharov, Arjun Krishna, Kin Man Lee, Peter Wagstaff, Sumedh Naik, Matthew Sklar, Sugju Choi, Yoshiki Kakehi, Ruturaj Patil, Divya Mallemadugula, Florian Pesce, Peter Wilson, Wendell Hom, Matan Diamond, Bryan Zhao, Nina Moorman, Rohan R. Paleja, Letian Chen, Esmaeil Seraj, Matthew C. Gombolay:
Athletic Mobile Manipulator System for Robotic Wheelchair Tennis. CoRR abs/2210.02517 (2022) - [i8]Arjun Krishna, Zulfiqar Zaidi, Letian Chen, Rohan R. Paleja, Esmaeil Seraj, Matthew C. Gombolay:
Utilizing Human Feedback for Primitive Optimization in Wheelchair Tennis. CoRR abs/2212.14403 (2022) - 2021
- [c7]Yaru Niu, Rohan R. Paleja, Matthew C. Gombolay:
Multi-Agent Graph-Attention Communication and Teaming. AAMAS 2021: 964-973 - [c6]Mariah L. Schrum, Glen Neville, Michael Johnson, Nina Moorman, Rohan R. Paleja, Karen M. Feigh, Matthew C. Gombolay:
Effects of Social Factors and Team Dynamics on Adoption of Collaborative Robot Autonomy. HRI 2021: 149-157 - [c5]Rohan R. Paleja, Muyleng Ghuy, Nadun Ranawaka Arachchige, Reed Jensen, Matthew C. Gombolay:
The Utility of Explainable AI in Ad Hoc Human-Machine Teaming. NeurIPS 2021: 610-623 - [i7]Esmaeil Seraj, Zheyuan Wang, Rohan R. Paleja, Matthew Sklar, Anirudh Patel, Matthew C. Gombolay:
Heterogeneous Graph Attention Networks for Learning Diverse Communication. CoRR abs/2108.09568 (2021) - [i6]Letian Chen, Rohan R. Paleja, Matthew C. Gombolay:
Towards Sample-efficient Apprenticeship Learning from Suboptimal Demonstration. CoRR abs/2110.04347 (2021) - 2020
- [c4]Letian Chen, Rohan R. Paleja, Matthew C. Gombolay:
Learning from Suboptimal Demonstration via Self-Supervised Reward Regression. CoRL 2020: 1262-1277 - [c3]Letian Chen, Rohan R. Paleja, Muyleng Ghuy, Matthew C. Gombolay:
Joint Goal and Strategy Inference across Heterogeneous Demonstrators via Reward Network Distillation. HRI 2020: 659-668 - [c2]Rohan R. Paleja, Andrew Silva, Letian Chen, Matthew C. Gombolay:
Interpretable and Personalized Apprenticeship Scheduling: Learning Interpretable Scheduling Policies from Heterogeneous User Demonstrations. NeurIPS 2020 - [i5]Letian Chen, Rohan R. Paleja, Muyleng Ghuy, Matthew C. Gombolay:
Joint Goal and Strategy Inference across Heterogeneous Demonstrators via Reward Network Distillation. CoRR abs/2001.00503 (2020) - [i4]Rohan R. Paleja, Matthew C. Gombolay:
Heterogeneous Learning from Demonstration. CoRR abs/2001.09569 (2020) - [i3]Letian Chen, Rohan R. Paleja, Matthew C. Gombolay:
Learning from Suboptimal Demonstration via Self-Supervised Reward Regression. CoRR abs/2010.11723 (2020)
2010 – 2019
- 2019
- [c1]Rohan R. Paleja, Matthew C. Gombolay:
Heterogeneous Learning from Demonstration. HRI 2019: 730-732 - [i2]Rohan R. Paleja, Matthew C. Gombolay:
Inferring Personalized Bayesian Embeddings for Learning from Heterogeneous Demonstration. CoRR abs/1903.06047 (2019) - [i1]Rohan R. Paleja, Andrew Silva, Matthew C. Gombolay:
Personalized Apprenticeship Learning from Heterogeneous Decision-Makers. CoRR abs/1906.06397 (2019)
Coauthor Index
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last updated on 2024-09-14 01:09 CEST by the dblp team
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