David Isele
机构: Honda Research Institute, University of Pennsylvania
每年引用次数
引用次数
引用: 1,741
H-指数: 17
I10-指数 : 25
出版物: 73
Systems and methods for incorporating latent states into robotic planning
Ran Tian , SUN Liting , Masayoshi Tomizuka , David F Isele
2023
System and method for utilizing a recursive reasoning graph in multi-agent reinforcement learning
David F Isele , MA Xiaobai , Jayesh K Gupta , Mykel J Kochenderfer
4
2022
Navigation based on internal state inference and interactivity estimation
Jiachen Li , David F Isele , Kanghoon Lee , PARK Jinkyoo
2024
Systems and methods for parameter prediction for agent modeling
Ahmadreza Moradipari , Sangjae Bae , Ehsan Moradi Pari , David F Isele
2023
Lane selection
Sangjae Bae , David F Isele , Kikuo Fujimura
2
2023
System and method for multi-agent reinforcement learning in a multi-agent environment
David F Isele , Kikuo Fujimura , Anahita Mohseni-Kabir
2023
System and method for providing spatiotemporal costmap inference for model predictive control
LEE Keuntaek , David F Isele , Sangjae Bae
1
2023
Interaction-aware trajectory planning
Piyush Gupta , David F Isele , Sangjae Bae
2024
Systems and methods for speed and lane advisory
Faizan M Tariq , David F Isele , Sangjae Bae
2023
Game theoretic decision making
Siyu Dai , Sangjae Bae , David F Isele
2023
System and methods for speed and lane advisory in evaluating lane change events and opportunities
Faizan M Tariq , David F Isele , Sangjae Bae
2024
Systems and methods for path planning with latent state inference and graphical relationships
Jiachen Li , David F ISELE , Kikuo Fujimura , MA Xiaobai
2024
Design of a low-cost platform for autonomous mobile service robots
Eric Eaton , Caio Mucchiani , Mayumi Mohan , D Luna Isele
Proceedings of IJCAI 2016 Workshop on Autonomous Mobile Service Robots
13
2016
Using task features for zero-shot knowledge transfer in lifelong learning
Mohammad Rostami , Eric Eaton , David Isele
international joint conference on artificial intelligence 1620 -1626
90
2016
Representations for continuous learning
David Isele
national conference on artificial intelligence 5040 -5041
2017
Transferring Autonomous Driving Knowledge on Simulated and Real Intersections.
Akansel Cosgun , David Isele
arXiv: Learning
20
2017
Comparing Reward Shaping, Visual Hints, and Curriculum Learning.
David W. Aha , Mark Roberts , David Isele , Rey Pocius
national conference on artificial intelligence 8135 -8136
3
2018
Modeling Consecutive Task Learning with Task Graph Agendas
David W. Aha , Mark Roberts , Eric Eaton , David Isele
adaptive agents and multi-agents systems 1965 -1967
1
2018
To Go or Not to Go: A Case for Q-Learning at Unsignalized Intersections
Akansel Cosgun , David Isele
5
2017
Selective experience replay for lifelong learning
Akansel Cosgun , David Isele
national conference on artificial intelligence 3302 -3309
275
2018