David Isele

Orcid: 0000-0001-9749-6951

According to our database1, David Isele authored at least 42 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Interactive Autonomous Navigation With Internal State Inference and Interactivity Estimation.
IEEE Trans. Robotics, 2024

Active uncertainty reduction for safe and efficient interaction planning: A shielding-aware dual control approach.
Int. J. Robotics Res., 2024

Don't Get Stuck: A Deadlock Recovery Approach.
CoRR, 2024

Gaussian Lane Keeping: A Robust Prediction Baseline.
CoRR, 2024

Importance Sampling-Guided Meta-Training for Intelligent Agents in Highly Interactive Environments.
CoRR, 2024

Adaptive Prediction Ensemble: Improving Out-of-Distribution Generalization of Motion Forecasting.
CoRR, 2024

Efficient and Interaction-Aware Trajectory Planning for Autonomous Vehicles with Particle Swarm Optimization.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Towards Scalable & Efficient Interaction-Aware Planning in Autonomous Vehicles using Knowledge Distillation.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Multi-Profile Quadratic Programming (MPQP) for Optimal Gap Selection and Speed Planning of Autonomous Driving.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
Lane-Change in Dense Traffic With Model Predictive Control and Neural Networks.
IEEE Trans. Control. Syst. Technol., March, 2023

Game Theoretic Decision Making by Actively Learning Human Intentions Applied on Autonomous Driving.
CoRR, 2023

RCMS: Risk-Aware Crash Mitigation System for Autonomous Vehicles.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Robust Driving Policy Learning with Guided Meta Reinforcement Learning.
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.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
Spatiotemporal Costmap Inference for MPC Via Deep Inverse Reinforcement Learning.
IEEE Robotics Autom. Lett., 2022

Predicting Parameters for Modeling Traffic Participants.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Risk-sensitive MPCs with Deep Distributional Inverse RL for Autonomous Driving.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

SLAS: Speed and Lane Advisory System for Highway Navigation.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Recursive Reasoning Graph for Multi-Agent Reinforcement Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Risk-Aware Lane Selection on Highway with Dynamic Obstacles.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

Anytime Game-Theoretic Planning with Active Reasoning About Humans' Latent States for Human-Centered Robots.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Reinforcement Learning for Autonomous Driving with Latent State Inference and Spatial-Temporal Relationships.
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.
J. Artif. Intell. Res., 2020

Reinforcement Learning with Iterative Reasoning for Merging in Dense Traffic.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

A Comprehensive Trajectory Planner for a Person-Following ATV.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning.
Proceedings of the 8th International Conference on Learning Representations, 2020

Accurate Trajectory Following for Automated Vehicles in Dynamic Environments.
Proceedings of the 2020 American Control Conference, 2020

2019
Interactive Decision Making for Autonomous Vehicles in Dense Traffic.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Interaction-Aware Multi-Agent Reinforcement Learning for Mobile Agents with Individual Goals.
Proceedings of the International Conference on Robotics and Automation, 2019

Uncertainty-Aware Data Aggregation for Deep Imitation Learning.
Proceedings of the International Conference on Robotics and Automation, 2019

2018
Safe Reinforcement Learning on Autonomous Vehicles.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Navigating Occluded Intersections with Autonomous Vehicles Using Deep Reinforcement Learning.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Modeling Consecutive Task Learning with Task Graph Agendas.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Comparing Reward Shaping, Visual Hints, and Curriculum Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Selective Experience Replay for Lifelong Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Transferring Autonomous Driving Knowledge on Simulated and Real Intersections.
CoRR, 2017

Navigating Intersections with Autonomous Vehicles using Deep Reinforcement Learning.
CoRR, 2017

Analyzing Knowledge Transfer in Deep Q-Networks for Autonomously Handling Multiple Intersections.
CoRR, 2017

Vertex reconstruction of neutrino interactions using deep learning.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Representations for Continuous Learning.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Lifelong learning for disturbance rejection on mobile robots.
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.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016


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