David Isele

Manish Saroya

CoRR, 2024

2023

Lane-Change in Dense Traffic With Model Predictive Control and Neural Networks.

[BibT_eX]

[DOI]

Alexandre Miranda Añon

Chiho Choi

Scott J. Moura

IEEE Trans. Control. Syst. Technol., March, 2023

Interactive Autonomous Navigation with Internal State Inference and Interactivity Estimation.

[BibT_eX]

[DOI]

CoRR, 2023

Active Uncertainty Reduction for Safe and Efficient Interaction Planning: A Shielding-Aware Dual Control Approach.

[BibT_eX]

[DOI]

CoRR, 2023

Game Theoretic Decision Making by Actively Learning Human Intentions Applied on Autonomous Driving.

[BibT_eX]

[DOI]

Siyu Dai

CoRR, 2023

RCMS: Risk-Aware Crash Mitigation System for Autonomous Vehicles.

[BibT_eX]

[DOI]

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Robust Driving Policy Learning with Guided Meta Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Interaction-Aware Trajectory Planning for Autonomous Vehicles with Analytic Integration of Neural Networks into Model Predictive Control.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Spatiotemporal Costmap Inference for MPC Via Deep Inverse Reinforcement Learning.

[BibT_eX]

[DOI]

Keuntaek Lee

Evangelos A. Theodorou

IEEE Robotics Autom. Lett., 2022

Predicting Parameters for Modeling Traffic Participants.

[BibT_eX]

[DOI]

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Risk-sensitive MPCs with Deep Distributional Inverse RL for Autonomous Driving.

[BibT_eX]

[DOI]

Keuntaek Lee

Evangelos A. Theodorou

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

SLAS: Speed and Lane Advisory System for Highway Navigation.

[BibT_eX]

[DOI]

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Recursive Reasoning Graph for Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Risk-Aware Lane Selection on Highway with Dynamic Obstacles.

[BibT_eX]

[DOI]

Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

Anytime Game-Theoretic Planning with Active Reasoning About Humans' Latent States for Human-Centered Robots.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Reinforcement Learning for Autonomous Driving with Latent State Inference and Spatial-Temporal Relationships.

[BibT_eX]

[DOI]

Xiaobai Ma

Jiachen Li

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Using Task Descriptions in Lifelong Machine Learning for Improved Performance and Zero-Shot Transfer.

[BibT_eX]

[DOI]

Mohammad Rostami

Eric Eaton

J. Artif. Intell. Res., 2020

Reinforcement Learning with Iterative Reasoning for Merging in Dense Traffic.

[BibT_eX]

[DOI]

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

A Comprehensive Trajectory Planner for a Person-Following ATV.

[BibT_eX]

[DOI]

Huckleberry Febbo

Jiawei Huang

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Accurate Trajectory Following for Automated Vehicles in Dynamic Environments.

[BibT_eX]

[DOI]

Huckleberry Febbo

Proceedings of the 2020 American Control Conference, 2020

2019

Interactive Decision Making for Autonomous Vehicles in Dense Traffic.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Interaction-Aware Multi-Agent Reinforcement Learning for Mobile Agents with Individual Goals.

[BibT_eX]

[DOI]

Anahita Mohseni-Kabir

Proceedings of the International Conference on Robotics and Automation, 2019

Uncertainty-Aware Data Aggregation for Deep Imitation Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

2018

Safe Reinforcement Learning on Autonomous Vehicles.

[BibT_eX]

[DOI]

Alireza Nakhaei

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Navigating Occluded Intersections with Autonomous Vehicles Using Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Modeling Consecutive Task Learning with Task Graph Agendas.

[BibT_eX]

[DOI]

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Comparing Reward Shaping, Visual Hints, and Curriculum Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Selective Experience Replay for Lifelong Learning.

[BibT_eX]

[DOI]

Akansel Cosgun

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Transferring Autonomous Driving Knowledge on Simulated and Real Intersections.

[BibT_eX]

[DOI]

Akansel Cosgun

CoRR, 2017

Navigating Intersections with Autonomous Vehicles using Deep Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2017

Analyzing Knowledge Transfer in Deep Q-Networks for Autonomously Handling Multiple Intersections.

[BibT_eX]

[DOI]

Akansel Cosgun

CoRR, 2017

Vertex reconstruction of neutrino interactions using deep learning.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Representations for Continuous Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Lifelong learning for disturbance rejection on mobile robots.

[BibT_eX]

[DOI]

Gabriel Victor de la Cruz

José-Marcio Luna

Eric Eaton

James Irwin

Brandon Kallaher

Matthew E. Taylor

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Using Task Features for Zero-Shot Knowledge Transfer in Lifelong Learning.

[BibT_eX]

[DOI]