| 2026 | AAAI | Measuring What Matters: Scenario-Driven Evaluation for Trajectory Predictors in Autonomous Driving. | Longchao Da, David Isele, Hua Wei, Manish Saroya |
| 2025 | ICRA | Generalized Mission Planning for Heterogeneous Multi-Robot Teams via LLM-Constructed Hierarchical Trees. | Piyush Gupta, David Isele, Enna Sachdeva, Pin-Hao Huang, Behzad Dariush, Kwonjoon Lee, Sangjae Bae |
| 2025 | ICRA | Delayed-Decision Motion Planning in the Presence of Multiple Predictions. | David Isele, Alexandre Miranda Aon, Faizan M. Tariq, Goro Yeh, Avinash Singh, Sangjae Bae |
| 2025 | IROS | Active Probing with Multimodal Predictions for Motion Planning. | Darshan Gadginmath, Farhad Nawaz, Minjun Sung, Faizan M. Tariq, Sangjae Bae, David Isele, Fabio Pasqualetti, Jovin D'sa |
| 2024 | ICRA | Multi-Profile Quadratic Programming (MPQP) for Optimal Gap Selection and Speed Planning of Autonomous Driving. | Alexandre Miranda Aon, Sangjae Bae, Manish Saroya, David Isele |
| 2023 | ICRA | Interaction-Aware Trajectory Planning for Autonomous Vehicles with Analytic Integration of Neural Networks into Model Predictive Control. | Piyush Gupta, David Isele, Donggun Lee, Sangjae Bae |
| 2022 | AAAI | Recursive Reasoning Graph for Multi-Agent Reinforcement Learning. | Xiaobai Ma, David Isele, Jayesh K. Gupta, Kikuo Fujimura, Mykel J. Kochenderfer |
| 2022 | IROS | Risk-sensitive MPCs with Deep Distributional Inverse RL for Autonomous Driving. | Keuntaek Lee, David Isele, Evangelos A. Theodorou, Sangjae Bae |
| 2021 | ICRA | Reinforcement Learning for Autonomous Driving with Latent State Inference and Spatial-Temporal Relationships. | Xiaobai Ma, Jiachen Li, Mykel J. Kochenderfer, David Isele, Kikuo Fujimura |
| 2021 | ICRA | Anytime Game-Theoretic Planning with Active Reasoning About Humans' Latent States for Human-Centered Robots. | Ran Tian, Liting Sun, Masayoshi Tomizuka, David Isele |
| 2020 | ICLR | CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning. | Jiachen Yang, Alireza Nakhaei, David Isele, Kikuo Fujimura, Hongyuan Zha |
| 2020 | IROS | A Comprehensive Trajectory Planner for a Person-Following ATV. | Huckleberry Febbo, Jiawei Huang, David Isele |
| 2019 | ICRA | Uncertainty-Aware Data Aggregation for Deep Imitation Learning. | Yuchen Cui, David Isele, Scott Niekum, Kikuo Fujimura |
| 2019 | ICRA | Interaction-Aware Multi-Agent Reinforcement Learning for Mobile Agents with Individual Goals. | Anahita Mohseni-Kabir, David Isele, Kikuo Fujimura |
| 2018 | AAAI | Selective Experience Replay for Lifelong Learning. | David Isele, Akansel Cosgun |
| 2018 | AAAI | Comparing Reward Shaping, Visual Hints, and Curriculum Learning. | Rey Pocius, David Isele, Mark Roberts, David W. Aha |
| 2018 | ICRA | Navigating Occluded Intersections with Autonomous Vehicles Using Deep Reinforcement Learning. | David Isele, Reza Rahimi, Akansel Cosgun, Kaushik Subramanian, Kikuo Fujimura |
| 2018 | IROS | Safe Reinforcement Learning on Autonomous Vehicles. | David Isele, Alireza Nakhaei, Kikuo Fujimura |
| 2017 | AAAI | Representations for Continuous Learning. | David Isele |
| 2017 | IJCNN | Vertex reconstruction of neutrino interactions using deep learning. | Adam M. Terwilliger, Gabriel N. Perdue, David Isele, Robert M. Patton, Steven R. Young |
| 2016 | IJCAI | Using Task Features for Zero-Shot Knowledge Transfer in Lifelong Learning. | David Isele, Mohammad Rostami, Eric Eaton |
| 2016 | IROS | Lifelong learning for disturbance rejection on mobile robots. | David Isele, Jos-Marcio Luna, Eric Eaton, Gabriel Victor de la Cruz, James Irwin, Brandon Kallaher, Matthew E. Taylor |