David Isele

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 64

Top Topics

Highly Interactive

Predictive Control

Autonomous Vehicles

Reinforcement Learning

Top Venues

Publications

Mansur Arief, Mike Timmerman, Jiachen Li, David Isele, Mykel J. Kochenderfer
Importance Sampling-Guided Meta-Training for Intelligent Agents in Highly Interactive Environments. CoRR (2024)
Piyush Gupta, David Isele, Sangjae Bae
Towards Scalable & Efficient Interaction-Aware Planning in Autonomous Vehicles using Knowledge Distillation. IV (2024)
Alexandre Miranda Añon, Sangjae Bae, Manish Saroya, David Isele
Multi-Profile Quadratic Programming (MPQP) for Optimal Gap Selection and Speed Planning of Autonomous Driving. CoRR (2024)
David Isele, Piyush Gupta, Xinyi Liu, Sangjae Bae
Gaussian Lane Keeping: A Robust Prediction Baseline. CoRR (2024)
Jinning Li, Jiachen Li, Sangjae Bae, David Isele
Adaptive Prediction Ensemble: Improving Out-of-Distribution Generalization of Motion Forecasting. CoRR (2024)
Lin Song, David Isele, Naira Hovakimyan, Sangjae Bae
Efficient and Interaction-Aware Trajectory Planning for Autonomous Vehicles with Particle Swarm Optimization. IV (2024)
Alexandre Miranda Añon, Sangjae Bae, Manish Saroya, David Isele
Multi-Profile Quadratic Programming (MPQP) for Optimal Gap Selection and Speed Planning of Autonomous Driving. ICRA (2024)
Jiachen Li, David Isele, Kanghoon Lee, Jinkyoo Park, Kikuo Fujimura, Mykel J. Kochenderfer
Interactive Autonomous Navigation With Internal State Inference and Interactivity Estimation. IEEE Trans. Robotics 40 (2024)
Piyush Gupta, David Isele, Sangjae Bae
Towards Scalable & Efficient Interaction-Aware Planning in Autonomous Vehicles using Knowledge Distillation. CoRR (2024)
Lin Song, David Isele, Naira Hovakimyan, Sangjae Bae
Efficient and Interaction-Aware Trajectory Planning for Autonomous Vehicles with Particle Swarm Optimization. CoRR (2024)
Sangjae Bae, David Isele, Alireza Nakhaei, Peng Xu, Alexandre Miranda Añon, Chiho Choi, Kikuo Fujimura, Scott J. Moura
Lane-Change in Dense Traffic with Model Predictive Control and Neural Networks. CoRR (2024)
Piyush Gupta, David Isele, Donggun Lee, Sangjae Bae
Interaction-Aware Trajectory Planning for Autonomous Vehicles with Analytic Integration of Neural Networks into Model Predictive Control. ICRA (2023)
Piyush Gupta, David Isele, Donggun Lee, Sangjae Bae
Interaction-Aware Trajectory Planning for Autonomous Vehicles with Analytic Integration of Neural Networks into Model Predictive Control. CoRR (2023)
Faizan M. Tariq, David Isele, John S. Baras, Sangjae Bae
SLAS: Speed and Lane Advisory System for Highway Navigation. CoRR (2023)
Sangjae Bae, David Isele, Alireza Nakhaei, Peng Xu, Alexandre Miranda Añon, Chiho Choi, Kikuo Fujimura, Scott J. Moura
Lane-Change in Dense Traffic With Model Predictive Control and Neural Networks. IEEE Trans. Control. Syst. Technol. 31 (2) (2023)
Siyu Dai, Sangjae Bae, David Isele
Game Theoretic Decision Making by Actively Learning Human Intentions Applied on Autonomous Driving. CoRR (2023)
Faizan M. Tariq, David Isele, John S. Baras, Sangjae Bae
RCMS: Risk-Aware Crash Mitigation System for Autonomous Vehicles. ITSC (2023)
Haimin Hu, David Isele, Sangjae Bae, Jaime F. Fisac
Active Uncertainty Reduction for Safe and Efficient Interaction Planning: A Shielding-Aware Dual Control Approach. CoRR (2023)
Ahmadreza Moradipari, Sangjae Bae, Mahnoosh Alizadeh, Ehsan Moradi-Pari, David Isele
Predicting Parameters for Modeling Traffic Participants. CoRR (2023)
Kanghoon Lee, Jiachen Li, David Isele, Jinkyoo Park, Kikuo Fujimura, Mykel J. Kochenderfer
Robust Driving Policy Learning with Guided Meta Reinforcement Learning. CoRR (2023)
Jiachen Li, David Isele, Kanghoon Lee, Jinkyoo Park, Kikuo Fujimura, Mykel J. Kochenderfer
Interactive Autonomous Navigation with Internal State Inference and Interactivity Estimation. CoRR (2023)
Kanghoon Lee, Jiachen Li, David Isele, Jinkyoo Park, Kikuo Fujimura, Mykel J. Kochenderfer
Robust Driving Policy Learning with Guided Meta Reinforcement Learning. ITSC (2023)
Faizan M. Tariq, David Isele, John S. Baras, Sangjae Bae
RCMS: Risk-Aware Crash Mitigation System for Autonomous Vehicles. CoRR (2023)
Keuntaek Lee, David Isele, Evangelos A. Theodorou, Sangjae Bae
Risk-sensitive MPCs with Deep Distributional Inverse RL for Autonomous Driving. IROS (2022)
Ahmadreza Moradipari, Sangjae Bae, Mahnoosh Alizadeh, Ehsan Moradi Pari, David Isele
Predicting Parameters for Modeling Traffic Participants. ITSC (2022)
Xiaobai Ma, David Isele, Jayesh K. Gupta, Kikuo Fujimura, Mykel J. Kochenderfer
Recursive Reasoning Graph for Multi-Agent Reinforcement Learning. AAAI (2022)
Keuntaek Lee, David Isele, Evangelos A. Theodorou, Sangjae Bae
Spatiotemporal Costmap Inference for MPC Via Deep Inverse Reinforcement Learning. IEEE Robotics Autom. Lett. 7 (2) (2022)
Xiaobai Ma, David Isele, Jayesh K. Gupta, Kikuo Fujimura, Mykel J. Kochenderfer
Recursive Reasoning Graph for Multi-Agent Reinforcement Learning. CoRR (2022)
Keuntaek Lee, David Isele, Evangelos A. Theodorou, Sangjae Bae
Spatiotemporal Costmap Inference for MPC via Deep Inverse Reinforcement Learning. CoRR (2022)
Faizan M. Tariq, David Isele, John S. Baras, Sangjae Bae
SLAS: Speed and Lane Advisory System for Highway Navigation. CDC (2022)
Ran Tian, Liting Sun, Masayoshi Tomizuka, David Isele
Anytime Game-Theoretic Planning with Active Reasoning About Humans' Latent States for Human-Centered Robots. CoRR (2021)
Ran Tian, Liting Sun, Masayoshi Tomizuka, David Isele
Anytime Game-Theoretic Planning with Active Reasoning About Humans' Latent States for Human-Centered Robots. ICRA (2021)
Sangjae Bae, David Isele, Kikuo Fujimura, Scott J. Moura
Risk-Aware Lane Selection on Highway with Dynamic Obstacles. CoRR (2021)
Sangjae Bae, David Isele, Kikuo Fujimura, Scott J. Moura
Risk-Aware Lane Selection on Highway with Dynamic Obstacles. IV (2021)
Xiaobai Ma, Jiachen Li, Mykel J. Kochenderfer, David Isele, Kikuo Fujimura
Reinforcement Learning for Autonomous Driving with Latent State Inference and Spatial-Temporal Relationships. ICRA (2021)
Maxime Bouton, Alireza Nakhaei, David Isele, Kikuo Fujimura, Mykel J. Kochenderfer
Reinforcement Learning with Iterative Reasoning for Merging in Dense Traffic. ITSC (2020)
Maxime Bouton, Alireza Nakhaei, David Isele, Kikuo Fujimura, Mykel J. Kochenderfer
Reinforcement Learning with Iterative Reasoning for Merging in Dense Traffic. CoRR (2020)
Huckleberry Febbo, David Isele
Accurate Trajectory Following for Automated Vehicles in Dynamic Environments. ACC (2020)
Huckleberry Febbo, Jiawei Huang, David Isele
A Comprehensive Trajectory Planner for a Person-Following ATV. IROS (2020)
Mohammad Rostami, David Isele, Eric Eaton
Using Task Descriptions in Lifelong Machine Learning for Improved Performance and Zero-Shot Transfer. J. Artif. Intell. Res. 67 (2020)
Jiachen Yang, Alireza Nakhaei, David Isele, Kikuo Fujimura, Hongyuan Zha
CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning. ICLR (2020)
Xiaobai Ma, Jiachen Li, Mykel J. Kochenderfer, David Isele, Kikuo Fujimura
Reinforcement Learning for Autonomous Driving with Latent State Inference and Spatial-Temporal Relationships. CoRR (2020)
David Isele
Interactive Decision Making for Autonomous Vehicles in Dense Traffic. CoRR (2019)
David Isele, Alireza Nakhaei, Kikuo Fujimura
Safe Reinforcement Learning on Autonomous Vehicles. CoRR (2019)
Yuchen Cui, David Isele, Scott Niekum, Kikuo Fujimura
Uncertainty-Aware Data Aggregation for Deep Imitation Learning. ICRA (2019)
Yuchen Cui, David Isele, Scott Niekum, Kikuo Fujimura
Uncertainty-Aware Data Aggregation for Deep Imitation Learning. CoRR (2019)
Anahita Mohseni-Kabir, David Isele, Kikuo Fujimura
Interaction-Aware Multi-Agent Reinforcement Learning for Mobile Agents with Individual Goals. CoRR (2019)
David Isele
Interactive Decision Making for Autonomous Vehicles in Dense Traffic. ITSC (2019)
Anahita Mohseni-Kabir, David Isele, Kikuo Fujimura
Interaction-Aware Multi-Agent Reinforcement Learning for Mobile Agents with Individual Goals. ICRA (2019)
Rey Pocius, David Isele, Mark Roberts, David W. Aha
Comparing Reward Shaping, Visual Hints, and Curriculum Learning. AAAI (2018)
David Isele, Reza Rahimi, Akansel Cosgun, Kaushik Subramanian, Kikuo Fujimura
Navigating Occluded Intersections with Autonomous Vehicles Using Deep Reinforcement Learning. ICRA (2018)
Jiachen Yang, Alireza Nakhaei, David Isele, Hongyuan Zha, Kikuo Fujimura
CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning. CoRR (2018)
David Isele, Akansel Cosgun
Selective Experience Replay for Lifelong Learning. AAAI (2018)
David Isele, Akansel Cosgun
Selective Experience Replay for Lifelong Learning. CoRR (2018)
David Isele, Eric Eaton, Mark Roberts, David W. Aha
Modeling Consecutive Task Learning with Task Graph Agendas. AAMAS (2018)
David Isele, Alireza Nakhaei, Kikuo Fujimura
Safe Reinforcement Learning on Autonomous Vehicles. IROS (2018)
Adam M. Terwilliger, Gabriel N. Perdue, David Isele, Robert M. Patton, Steven R. Young
Vertex reconstruction of neutrino interactions using deep learning. IJCNN (2017)
David Isele, Mohammad Rostami, Eric Eaton
Using Task Descriptions in Lifelong Machine Learning for Improved Performance and Zero-Shot Transfer. CoRR (2017)
David Isele
Representations for Continuous Learning. AAAI (2017)
David Isele, Akansel Cosgun, Kikuo Fujimura
Analyzing Knowledge Transfer in Deep Q-Networks for Autonomously Handling Multiple Intersections. CoRR (2017)
David Isele, Akansel Cosgun, Kaushik Subramanian, Kikuo Fujimura
Navigating Intersections with Autonomous Vehicles using Deep Reinforcement Learning. CoRR (2017)
David Isele, Akansel Cosgun
Transferring Autonomous Driving Knowledge on Simulated and Real Intersections. CoRR (2017)
David Isele, Mohammad Rostami, Eric Eaton
Using Task Features for Zero-Shot Knowledge Transfer in Lifelong Learning. IJCAI (2016)
David Isele, José-Marcio Luna, Eric Eaton, Gabriel Victor de la Cruz, James Irwin, Brandon Kallaher, Matthew E. Taylor
Lifelong learning for disturbance rejection on mobile robots. IROS (2016)