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Kyle Hollins Wray
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2020 – today
- 2024
- [c30]Ava Pettet, Yunuo Zhang, Baiting Luo, Kyle Hollins Wray, Hendrik Baier, Aron Laszka, Abhishek Dubey, Ayan Mukhopadhyay:
Decision Making in Non-Stationary Environments with Policy-Augmented Search. AAMAS 2024: 2417-2419 - [c29]Arec L. Jamgochian, Hugo Buurmeijer, Kyle Hollins Wray, Anthony Corso, Mykel J. Kochenderfer:
Constrained Hierarchical Monte Carlo Belief-State Planning. ICRA 2024: 2368-2374 - [i12]Ava Pettet, Yunuo Zhang, Baiting Luo
, Kyle Hollins Wray, Hendrik Baier, Aron Laszka, Abhishek Dubey, Ayan Mukhopadhyay:
Decision Making in Non-Stationary Environments with Policy-Augmented Search. CoRR abs/2401.03197 (2024) - [i11]Harrison Delecki, Marcell Vazquez-Chanlatte, Esen Yel, Kyle Hollins Wray, Tomer Arnon, Stefan J. Witwicki, Mykel J. Kochenderfer:
Entropy-regularized Point-based Value Iteration. CoRR abs/2402.09388 (2024) - [i10]Mahdi Al-Husseini, Kyle Hollins Wray, Mykel J. Kochenderfer:
Hierarchical Framework for Optimizing Wildfire Surveillance and Suppression using Human-Autonomous Teaming. CoRR abs/2406.17189 (2024) - [i9]Mahdi Al-Husseini, Kyle Hollins Wray, Mykel J. Kochenderfer:
Watercraft as Overwater Ambulance Exchange Points to Enhance Aeromedical Evacuation. CoRR abs/2408.13847 (2024) - [i8]Jiho Lee, Nisar R. Ahmed, Kyle Hollins Wray, Zachary N. Sunberg:
Rao-Blackwellized POMDP Planning. CoRR abs/2409.16392 (2024) - 2023
- [j3]Connor Basich
Competence-aware systems. Artif. Intell. 316: 103844 (2023) - [c28]Kenneth Czuprynski, Kyle Hollins Wray:
Banded Controllers for Scalable POMDP Decision-Making. ECC 2023: 1-7 - [c27]Anil Yildiz, Esen Yel
Experience Filter: Using Past Experiences on Unseen Tasks or Environments. IV 2023: 1-7 - [i7]Anil Yildiz, Esen Yel, Anthony L. Corso, Kyle Hollins Wray, Stefan J. Witwicki, Mykel J. Kochenderfer:
Experience Filter: Using Past Experiences on Unseen Tasks or Environments. CoRR abs/2305.18633 (2023) - [i6]Rachel Freedman, Justin Svegliato, Kyle Hollins Wray, Stuart Russell:
Active teacher selection for reinforcement learning from human feedback. CoRR abs/2310.15288 (2023) - [i5]Arec L. Jamgochian, Hugo Buurmeijer
Constrained Hierarchical Monte Carlo Belief-State Planning. CoRR abs/2310.20054 (2023) - 2022
- [j2]Sadegh Rabiee
Competence-Aware Path Planning Via Introspective Perception. IEEE Robotics Autom. Lett. 7(2): 3218-3225 (2022) - [c26]Kyle Hollins Wray, Kenneth Czuprynski:
Scalable Gradient Ascent for Controllers in Constrained POMDPs. ICRA 2022: 9085-9091 - [c25]Kyle Hollins Wray, Stas Tiomkin, Mykel J. Kochenderfer
Multi-Objective Policy Gradients with Topological Constraints. IROS 2022: 9034-9039 - [c24]Shuwa Miura, Kyle Hollins Wray, Shlomo Zilberstein:
Heuristic Search for SSPs with Lexicographic Preferences over Multiple Costs. SOCS 2022: 127-135 - [i4]Kyle Hollins Wray, Stas Tiomkin, Mykel J. Kochenderfer, Pieter Abbeel:
Multi-Objective Policy Gradients with Topological Constraints. CoRR abs/2209.07096 (2022) - 2021
- [c23]Kyle Hollins Wray, Kenneth Czuprynski:
Scalable POMDP Decision-Making Using Circulant Controllers. ICRA 2021: 6831-6837 - [c22]Connor Basich, Justin Svegliato, Allyson Beach, Kyle Hollins Wray, Stefan J. Witwicki, Shlomo Zilberstein:
Improving Competence via Iterative State Space Refinement. IROS 2021: 1865-1871 - [c21]Kyle Hollins Wray, Bernard Lange, Arec L. Jamgochian, Stefan J. Witwicki, Atsuhide Kobashi, Sachin Hagaribommanahalli, David Ilstrup:
POMDPs for Safe Visibility Reasoning in Autonomous Vehicles. ISR 2021: 191-195 - [c20]Kyle Hollins Wray, Richard Lui, Liam Pedersen:
Engine Activation Planning for Series Hybrid Electric Vehicles. IV 2021: 238-244 - [i3]Sadegh Rabiee, Connor Basich, Kyle Hollins Wray, Shlomo Zilberstein, Joydeep Biswas:
Competence-Aware Path Planning via Introspective Perception. CoRR abs/2109.13974 (2021) - 2020
- [c19]Connor Basich, Justin Svegliato, Kyle Hollins Wray, Stefan J. Witwicki, Joydeep Biswas, Shlomo Zilberstein:
Learning to Optimize Autonomy in Competence-Aware Systems. AAMAS 2020: 123-131 - [c18]Connor Basich, Justin Svegliato, Kyle Hollins Wray, Stefan J. Witwicki, Shlomo Zilberstein:
Improving Competence for Reliable Autonomy. AREA@ECAI 2020: 37-53 - [i2]Connor Basich, Justin Svegliato, Kyle Hollins Wray, Stefan J. Witwicki, Joydeep Biswas, Shlomo Zilberstein:
Learning to Optimize Autonomy in Competence-Aware Systems. CoRR abs/2003.07745 (2020)
2010 – 2019
- 2019
- [j1]Aaron Adler, Prithviraj Dasgupta, Nick DePalma, Mohammed Eslami, Richard G. Freedman, John E. Laird
Reports of the 2018 AAAI Fall Symposium. AI Mag. 40(2): 66-72 (2019) - [c17]Kyle Hollins Wray, Shlomo Zilberstein:
Policy Networks: A Framework for Scalable Integration of Multiple Decision-Making Models. AAMAS 2019: 2270-2272 - [c16]Kyle Hollins Wray, Shlomo Zilberstein
Generalized Controllers in POMDP Decision-Making. ICRA 2019: 7166-7172 - [c15]Justin Svegliato, Kyle Hollins Wray, Stefan J. Witwicki, Joydeep Biswas
Belief Space Metareasoning for Exception Recovery. IROS 2019: 1224-1229 - [c14]Sandhya Saisubramanian, Kyle Hollins Wray, Luis Enrique Pineda, Shlomo Zilberstein
Planning in Stochastic Environments with Goal Uncertainty. IROS 2019: 1649-1654 - 2018
- [c13]Kyle Hollins Wray, Akshat Kumar, Shlomo Zilberstein:
Integrated Cooperation and Competition in Multi-Agent Decision-Making. AAAI 2018: 4751-4758 - [c12]Justin Svegliato, Kyle Hollins Wray, Shlomo Zilberstein:
Meta-Level Control of Anytime Algorithms with Online Performance Prediction. IJCAI 2018: 1499-1505 - [i1]Sandhya Saisubramanian, Kyle Hollins Wray, Luis Enrique Pineda, Shlomo Zilberstein:
Planning in Stochastic Environments with Goal Uncertainty. CoRR abs/1810.08159 (2018) - 2017
- [c11]Luis Enrique Pineda, Kyle Hollins Wray, Shlomo Zilberstein:
Fast SSP Solvers Using Short-Sighted Labeling. AAAI 2017: 3629-3635 - [c10]Kyle Hollins Wray, Stefan J. Witwicki, Shlomo Zilberstein:
Online Decision-Making for Scalable Autonomous Systems. IJCAI 2017: 4768-4774 - [c9]Kyle Hollins Wray, Shlomo Zilberstein
Approximating reachable belief points in POMDPs. IROS 2017: 117-122 - 2016
- [c8]Kyle Hollins Wray, Shlomo Zilberstein:
A POMDP Formulation of Proactive Learning. AAAI 2016: 3202-3208 - [c7]Kyle Hollins Wray, Luis Enrique Pineda, Shlomo Zilberstein:
Hierarchical Approach to Transfer of Control in Semi-Autonomous Systems: (Extended Abstract). AAMAS 2016: 1285-1286 - [c6]Kyle Hollins Wray, Luis Enrique Pineda, Shlomo Zilberstein:
Hierarchical Approach to Transfer of Control in Semi-Autonomous Systems. IJCAI 2016: 517-523 - [c5]Kyle Hollins Wray, Dirk Ruiken
Log-space harmonic function path planning. IROS 2016: 1511-1516 - 2015
- [c4]Kyle Hollins Wray, Shlomo Zilberstein, Abdel-Illah Mouaddib:
Multi-Objective MDPs with Conditional Lexicographic Reward Preferences. AAAI 2015: 3418-3424 - [c3]Luis Enrique Pineda, Kyle Hollins Wray, Shlomo Zilberstein:
Revisiting Multi-Objective MDPs with Relaxed Lexicographic Preferences. AAAI Fall Symposia 2015: 63-68 - [c2]Kyle Hollins Wray, Shlomo Zilberstein:
A Parallel Point-Based POMDP Algorithm Leveraging GPUs. AAAI Fall Symposia 2015: 95-96 - [c1]Kyle Hollins Wray, Shlomo Zilberstein:
Multi-Objective POMDPs with Lexicographic Reward Preferences. IJCAI 2015: 1719-1725
Coauthor Index
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last updated on 2024-10-17 20:28 CEST by the dblp team
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