Rohan R. Paleja

Orcid: 0000-0002-0773-8054

According to our database1, Rohan R. Paleja authored at least 29 papers between 2019 and 2024.

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Bibliography

2024
Heterogeneous Policy Networks for Composite Robot Team Communication and Coordination.
IEEE Trans. Robotics, 2024

Interactive and Explainable Robot Learning: A Comprehensive Review.
Found. Trends Robotics, 2024

Faster Model Predictive Control via Self-Supervised Initialization Learning.
CoRR, 2024

Designs for Enabling Collaboration in Human-Machine Teaming via Interactive and Explainable Systems.
CoRR, 2024

Unsupervised Behavior Inference From Human Action Sequences.
Proceedings of the IEEE Conference on Games, 2024

2023
Athletic Mobile Manipulator System for Robotic Wheelchair Tennis.
IEEE Robotics Autom. Lett., April, 2023

Interpretable Reinforcement Learning for Robotics and Continuous Control.
CoRR, 2023

Adversarial Search and Track with Multiagent Reinforcement Learning in Sparsely Observable Environment.
CoRR, 2023

Adversarial Search and Tracking with Multiagent Reinforcement Learning in Sparsely Observable Environment.
Proceedings of the International Symposium on Multi-Robot and Multi-Agent Systems, 2023

Learning Models of Adversarial Agent Behavior Under Partial Observability.
IROS, 2023

The Effect of Robot Skill Level and Communication in Rapid, Proximate Human-Robot Collaboration.
Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 2023

2022
Utilizing Human Feedback for Primitive Optimization in Wheelchair Tennis.
CoRR, 2022

Learning Interpretable, High-Performing Policies for Continuous Control Problems.
CoRR, 2022

Using machine learning to predict perfusionists' critical decision-making during cardiac surgery.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2022

Learning Interpretable, High-Performing Policies for Autonomous Driving.
Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Fast Lifelong Adaptive Inverse Reinforcement Learning from Demonstrations.
Proceedings of the Conference on Robot Learning, 2022

Learning Efficient Diverse Communication for Cooperative Heterogeneous Teaming.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Mutual Understanding in Human-Machine Teaming.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Towards Sample-efficient Apprenticeship Learning from Suboptimal Demonstration.
CoRR, 2021

Heterogeneous Graph Attention Networks for Learning Diverse Communication.
CoRR, 2021

The Utility of Explainable AI in Ad Hoc Human-Machine Teaming.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Effects of Social Factors and Team Dynamics on Adoption of Collaborative Robot Autonomy.
Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2021

Multi-Agent Graph-Attention Communication and Teaming.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020
Interpretable and Personalized Apprenticeship Scheduling: Learning Interpretable Scheduling Policies from Heterogeneous User Demonstrations.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Joint Goal and Strategy Inference across Heterogeneous Demonstrators via Reward Network Distillation.
Proceedings of the HRI '20: ACM/IEEE International Conference on Human-Robot Interaction, 2020

Learning from Suboptimal Demonstration via Self-Supervised Reward Regression.
Proceedings of the 4th Conference on Robot Learning, 2020

2019
Personalized Apprenticeship Learning from Heterogeneous Decision-Makers.
CoRR, 2019

Inferring Personalized Bayesian Embeddings for Learning from Heterogeneous Demonstration.
CoRR, 2019

Heterogeneous Learning from Demonstration.
Proceedings of the 14th ACM/IEEE International Conference on Human-Robot Interaction, 2019


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