default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDDavid Isele
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[j5]Haimin Hu
, David Isele, Sangjae Bae, Jaime F. Fisac:
Active uncertainty reduction for safe and efficient interaction planning: A shielding-aware dual control approach. Int. J. Robotics Res. 43(9): 1382-1408 (2024)- [j4]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: 2932-2949 (2024) - [c29]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: 12158-12164 - [c28]Lin Song, David Isele, Naira Hovakimyan, Sangjae Bae:
Efficient and Interaction-Aware Trajectory Planning for Autonomous Vehicles with Particle Swarm Optimization. IV 2024: 2070-2077 - [c27]Piyush Gupta, David Isele, Sangjae Bae:
Towards Scalable & Efficient Interaction-Aware Planning in Autonomous Vehicles using Knowledge Distillation. IV 2024: 2735-2742 - [i32]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 abs/2401.06305 (2024) - [i31]Lin Song, David Isele, Naira Hovakimyan, Sangjae Bae:
Efficient and Interaction-Aware Trajectory Planning for Autonomous Vehicles with Particle Swarm Optimization. CoRR abs/2402.01575 (2024) - [i30]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 abs/2403.19633 (2024) - [i29]Piyush Gupta, David Isele, Sangjae Bae:
Towards Scalable & Efficient Interaction-Aware Planning in Autonomous Vehicles using Knowledge Distillation. CoRR abs/2404.01746 (2024) - [i28]Jinning Li, Jiachen Li, Sangjae Bae, David Isele:
Adaptive Prediction Ensemble: Improving Out-of-Distribution Generalization of Motion Forecasting. CoRR abs/2407.09475 (2024) - [i27]Mansur Arief, Mike Timmerman, Jiachen Li, David Isele, Mykel J. Kochenderfer:
Importance Sampling-Guided Meta-Training for Intelligent Agents in Highly Interactive Environments. CoRR abs/2407.15839 (2024) - [i26]David Isele, Piyush Gupta, Xinyi Liu, Sangjae Bae:
Gaussian Lane Keeping: A Robust Prediction Baseline. CoRR abs/2407.18451 (2024) - [i25]Francesca Baldini, Faizan M. Tariq, Sangjae Bae, David Isele:
Don't Get Stuck: A Deadlock Recovery Approach. CoRR abs/2408.10167 (2024) - 2023
- [j3]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): 646-659 (2023) - [c26]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: 7794-7800 - [c25]Faizan M. Tariq, David Isele, John S. Baras, Sangjae Bae:
RCMS: Risk-Aware Crash Mitigation System for Autonomous Vehicles. ITSC 2023: 3950-3957 - [c24]Kanghoon Lee, Jiachen Li, David Isele, Jinkyoo Park, Kikuo Fujimura, Mykel J. Kochenderfer:
Robust Driving Policy Learning with Guided Meta Reinforcement Learning. ITSC 2023: 4114-4120 - [i24]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 abs/2301.05393 (2023) - [i23]Siyu Dai, Sangjae Bae, David Isele:
Game Theoretic Decision Making by Actively Learning Human Intentions Applied on Autonomous Driving. CoRR abs/2301.09178 (2023) - [i22]Ahmadreza Moradipari, Sangjae Bae, Mahnoosh Alizadeh, Ehsan Moradi-Pari, David Isele:
Predicting Parameters for Modeling Traffic Participants. CoRR abs/2301.10893 (2023) - [i21]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 abs/2302.00171 (2023) - [i20]Faizan M. Tariq, David Isele, John S. Baras, Sangjae Bae:
SLAS: Speed and Lane Advisory System for Highway Navigation. CoRR abs/2303.00861 (2023) - [i19]Kanghoon Lee, Jiachen Li, David Isele, Jinkyoo Park, Kikuo Fujimura, Mykel J. Kochenderfer:
Robust Driving Policy Learning with Guided Meta Reinforcement Learning. CoRR abs/2307.10160 (2023) - [i18]Faizan M. Tariq, David Isele, John S. Baras, Sangjae Bae:
RCMS: Risk-Aware Crash Mitigation System for Autonomous Vehicles. CoRR abs/2309.12531 (2023) - [i17]Jiachen Li, David Isele, Kanghoon Lee, Jinkyoo Park, Kikuo Fujimura, Mykel J. Kochenderfer:
Interactive Autonomous Navigation with Internal State Inference and Interactivity Estimation. CoRR abs/2311.16091 (2023) - 2022
- [j2]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): 3194-3201 (2022) - [c23]Xiaobai Ma, David Isele, Jayesh K. Gupta, Kikuo Fujimura, Mykel J. Kochenderfer:
Recursive Reasoning Graph for Multi-Agent Reinforcement Learning. AAAI 2022: 7664-7671 - [c22]Faizan M. Tariq, David Isele, John S. Baras, Sangjae Bae:
SLAS: Speed and Lane Advisory System for Highway Navigation. CDC 2022: 6979-6986 - [c21]Keuntaek Lee, David Isele, Evangelos A. Theodorou, Sangjae Bae:
Risk-sensitive MPCs with Deep Distributional Inverse RL for Autonomous Driving. IROS 2022: 7635-7642 - [c20]Ahmadreza Moradipari, Sangjae Bae, Mahnoosh Alizadeh, Ehsan Moradi-Pari, David Isele:
Predicting Parameters for Modeling Traffic Participants. ITSC 2022: 703-708 - [i16]Keuntaek Lee, David Isele, Evangelos A. Theodorou, Sangjae Bae:
Spatiotemporal Costmap Inference for MPC via Deep Inverse Reinforcement Learning. CoRR abs/2201.06539 (2022) - [i15]Xiaobai Ma, David Isele, Jayesh K. Gupta, Kikuo Fujimura, Mykel J. Kochenderfer:
Recursive Reasoning Graph for Multi-Agent Reinforcement Learning. CoRR abs/2203.02844 (2022) - 2021
- [c19]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: 4509-4515 - [c18]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: 6064-6071 - [c17]Sangjae Bae, David Isele, Kikuo Fujimura, Scott J. Moura:
Risk-Aware Lane Selection on Highway with Dynamic Obstacles. IV 2021: 652-659 - [i14]Sangjae Bae, David Isele, Kikuo Fujimura, Scott J. Moura:
Risk-Aware Lane Selection on Highway with Dynamic Obstacles. CoRR abs/2104.04105 (2021) - [i13]Ran Tian, Liting Sun, Masayoshi Tomizuka, David Isele:
Anytime Game-Theoretic Planning with Active Reasoning About Humans' Latent States for Human-Centered Robots. CoRR abs/2109.12490 (2021) - 2020
- [j1]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: 673-704 (2020) - [c16]Huckleberry Febbo, David Isele:
Accurate Trajectory Following for Automated Vehicles in Dynamic Environments. ACC 2020: 2012-2017 - [c15]Jiachen Yang, Alireza Nakhaei, David Isele, Kikuo Fujimura, Hongyuan Zha:
CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning. ICLR 2020 - [c14]Huckleberry Febbo, Jiawei Huang, David Isele:
A Comprehensive Trajectory Planner for a Person-Following ATV. IROS 2020: 7020-7026 - [c13]Maxime Bouton, Alireza Nakhaei, David Isele, Kikuo Fujimura, Mykel J. Kochenderfer:
Reinforcement Learning with Iterative Reasoning for Merging in Dense Traffic. ITSC 2020: 1-6 - [i12]Maxime Bouton, Alireza Nakhaei, David Isele, Kikuo Fujimura, Mykel J. Kochenderfer:
Reinforcement Learning with Iterative Reasoning for Merging in Dense Traffic. CoRR abs/2005.11895 (2020) - [i11]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 abs/2011.04251 (2020)
2010 – 2019
- 2019
- [c12]Yuchen Cui, David Isele, Scott Niekum, Kikuo Fujimura:
Uncertainty-Aware Data Aggregation for Deep Imitation Learning. ICRA 2019: 761-767 - [c11]Anahita Mohseni-Kabir, David Isele, Kikuo Fujimura:
Interaction-Aware Multi-Agent Reinforcement Learning for Mobile Agents with Individual Goals. ICRA 2019: 3370-3376 - [c10]David Isele:
Interactive Decision Making for Autonomous Vehicles in Dense Traffic. ITSC 2019: 3981-3986 - [i10]Yuchen Cui, David Isele, Scott Niekum, Kikuo Fujimura:
Uncertainty-Aware Data Aggregation for Deep Imitation Learning. CoRR abs/1905.02780 (2019) - [i9]David Isele:
Interactive Decision Making for Autonomous Vehicles in Dense Traffic. CoRR abs/1909.12914 (2019) - [i8]Anahita Mohseni-Kabir, David Isele, Kikuo Fujimura:
Interaction-Aware Multi-Agent Reinforcement Learning for Mobile Agents with Individual Goals. CoRR abs/1909.12925 (2019) - [i7]David Isele, Alireza Nakhaei, Kikuo Fujimura:
Safe Reinforcement Learning on Autonomous Vehicles. CoRR abs/1910.00399 (2019) - 2018
- [c9]David Isele, Akansel Cosgun:
Selective Experience Replay for Lifelong Learning. AAAI 2018: 3302-3309 - [c8]Rey Pocius, David Isele, Mark Roberts, David W. Aha:
Comparing Reward Shaping, Visual Hints, and Curriculum Learning. AAAI 2018: 8135-8136 - [c7]David Isele, Eric Eaton, Mark Roberts, David W. Aha:
Modeling Consecutive Task Learning with Task Graph Agendas. AAMAS 2018: 1965-1967 - [c6]David Isele, Reza Rahimi, Akansel Cosgun, Kaushik Subramanian, Kikuo Fujimura:
Navigating Occluded Intersections with Autonomous Vehicles Using Deep Reinforcement Learning. ICRA 2018: 2034-2039 - [c5]David Isele, Alireza Nakhaei, Kikuo Fujimura:
Safe Reinforcement Learning on Autonomous Vehicles. IROS 2018: 1-6 - [i6]David Isele, Akansel Cosgun:
Selective Experience Replay for Lifelong Learning. CoRR abs/1802.10269 (2018) - [i5]Jiachen Yang, Alireza Nakhaei, David Isele, Hongyuan Zha, Kikuo Fujimura:
CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning. CoRR abs/1809.05188 (2018) - 2017
- [c4]David Isele:
Representations for Continuous Learning. AAAI 2017: 5040-5041 - [c3]Adam M. Terwilliger, Gabriel N. Perdue, David Isele, Robert M. Patton, Steven R. Young:
Vertex reconstruction of neutrino interactions using deep learning. IJCNN 2017: 2275-2281 - [i4]David Isele, Akansel Cosgun, Kaushik Subramanian, Kikuo Fujimura:
Navigating Intersections with Autonomous Vehicles using Deep Reinforcement Learning. CoRR abs/1705.01196 (2017) - [i3]David Isele, Akansel Cosgun, Kikuo Fujimura:
Analyzing Knowledge Transfer in Deep Q-Networks for Autonomously Handling Multiple Intersections. CoRR abs/1705.01197 (2017) - [i2]David Isele, Mohammad Rostami, Eric Eaton:
Using Task Descriptions in Lifelong Machine Learning for Improved Performance and Zero-Shot Transfer. CoRR abs/1710.03850 (2017) - [i1]David Isele, Akansel Cosgun:
Transferring Autonomous Driving Knowledge on Simulated and Real Intersections. CoRR abs/1712.01106 (2017) - 2016
- [c2]David Isele, Mohammad Rostami, Eric Eaton:
Using Task Features for Zero-Shot Knowledge Transfer in Lifelong Learning. IJCAI 2016: 1620-1626 - [c1]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: 3993-3998
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-23 21:25 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
