Multi-Objective MDPs with Conditional Lexicographic Reward Preferences. - Kyle Hollins Wray; Shlomo Zilberstein; Abdel-Illah Mouaddib (AAAI, 2015)

Revisiting Multi-Objective MDPs with Relaxed Lexicographic Preferences. - Luis Enrique Pineda; Kyle Hollins Wray; Shlomo Zilberstein (AAAI Fall Symposia, 2015)

A Parallel Point-Based POMDP Algorithm Leveraging GPUs. - Kyle Hollins Wray; Shlomo Zilberstein (AAAI Fall Symposia, 2015)

Multi-Objective POMDPs with Lexicographic Reward Preferences. - Kyle Hollins Wray; Shlomo Zilberstein (IJCAI, 2015)

A POMDP Formulation of Proactive Learning. - Kyle Hollins Wray; Shlomo Zilberstein (AAAI, 2016)

Hierarchical Approach to Transfer of Control in Semi-Autonomous Systems: (Extended Abstract). - Kyle Hollins Wray; Luis Enrique Pineda; Shlomo Zilberstein (AAMAS, 2016)

Hierarchical Approach to Transfer of Control in Semi-Autonomous Systems. - Kyle Hollins Wray; Luis Enrique Pineda; Shlomo Zilberstein (IJCAI, 2016)

Log-space harmonic function path planning. - Kyle Hollins Wray; Dirk Ruiken; Roderic A. Grupen; Shlomo Zilberstein (IROS, 2016)

Fast SSP Solvers Using Short-Sighted Labeling. - Luis Enrique Pineda; Kyle Hollins Wray; Shlomo Zilberstein (AAAI, 2017)

Online Decision-Making for Scalable Autonomous Systems. - Kyle Hollins Wray; Stefan J. Witwicki; Shlomo Zilberstein (IJCAI, 2017)

Approximating reachable belief points in POMDPs. - Kyle Hollins Wray; Shlomo Zilberstein (IROS, 2017)

Integrated Cooperation and Competition in Multi-Agent Decision-Making. - Kyle Hollins Wray; Akshat Kumar; Shlomo Zilberstein (AAAI, 2018)

Meta-Level Control of Anytime Algorithms with Online Performance Prediction. - Justin Svegliato; Kyle Hollins Wray; Shlomo Zilberstein (IJCAI, 2018)

Policy Networks: A Framework for Scalable Integration of Multiple Decision-Making Models. - Kyle Hollins Wray; Shlomo Zilberstein (AAMAS, 2019)

Generalized Controllers in POMDP Decision-Making. - Kyle Hollins Wray; Shlomo Zilberstein (ICRA, 2019)

Planning in Stochastic Environments with Goal Uncertainty. - Sandhya Saisubramanian; Kyle Hollins Wray; Luis Enrique Pineda; Shlomo Zilberstein (IROS, 2019)

Belief Space Metareasoning for Exception Recovery. - Justin Svegliato; Kyle Hollins Wray; Stefan J. Witwicki; Joydeep Biswas; Shlomo Zilberstein (IROS, 2019)

Reports of the 2018 AAAI Fall Symposium. - Aaron Adler; Prithviraj Dasgupta; Nick DePalma; Mohammed Eslami; Richard G. Freedman; John E. Laird; Christian Lebiere; Katrin S. Lohan; Ross Mead; Mark Roberts; Paul S. Rosenbloom; Emmanuel Senft; et al. (AI Mag., 2019)

Learning to Optimize Autonomy in Competence-Aware Systems. - Connor Basich; Justin Svegliato; Kyle Hollins Wray; Stefan J. Witwicki; Joydeep Biswas; Shlomo Zilberstein (AAMAS, 2020)

Improving Competence for Reliable Autonomy. - Connor Basich; Justin Svegliato; Kyle Hollins Wray; Stefan J. Witwicki; Shlomo Zilberstein (AREA@ECAI, 2020)

Scalable POMDP Decision-Making Using Circulant Controllers. - Kyle Hollins Wray; Kenneth Czuprynski (ICRA, 2021)

Improving Competence via Iterative State Space Refinement. - Connor Basich; Justin Svegliato; Allyson Beach; Kyle Hollins Wray; Stefan J. Witwicki; Shlomo Zilberstein (IROS, 2021)

POMDPs for Safe Visibility Reasoning in Autonomous Vehicles. - Kyle Hollins Wray; Bernard Lange; Arec L. Jamgochian; Stefan J. Witwicki; Atsuhide Kobashi; Sachin Hagaribommanahalli; David Ilstrup (ISR, 2021)

Engine Activation Planning for Series Hybrid Electric Vehicles. - Kyle Hollins Wray; Richard Lui; Liam Pedersen (IV, 2021)

Scalable Gradient Ascent for Controllers in Constrained POMDPs. - Kyle Hollins Wray; Kenneth Czuprynski (ICRA, 2022)

Multi-Objective Policy Gradients with Topological Constraints. - Kyle Hollins Wray; Stas Tiomkin; Mykel J. Kochenderfer; Pieter Abbeel (IROS, 2022)

Heuristic Search for SSPs with Lexicographic Preferences over Multiple Costs. - Shuwa Miura; Kyle Hollins Wray; Shlomo Zilberstein (SOCS, 2022)

Competence-Aware Path Planning Via Introspective Perception. - Sadegh Rabiee; Connor Basich; Kyle Hollins Wray; Shlomo Zilberstein; Joydeep Biswas (IEEE Robotics Autom. Lett., 2022)

Banded Controllers for Scalable POMDP Decision-Making. - Kenneth Czuprynski; Kyle Hollins Wray (ECC, 2023)

Experience Filter: Using Past Experiences on Unseen Tasks or Environments. - Anil Yildiz; Esen Yel; Anthony L. Corso; Kyle Hollins Wray; Stefan J. Witwicki; Mykel J. Kochenderfer (IV, 2023)

Active teacher selection for reinforcement learning from human feedback. - Rachel Freedman; Justin Svegliato; Kyle Hollins Wray; Stuart Russell 001 (CoRR, 2023)

Competence-aware systems. - Connor Basich; Justin Svegliato; Kyle Hollins Wray; Stefan J. Witwicki; Joydeep Biswas; Shlomo Zilberstein (Artif. Intell., 2023)

Decision Making in Non-Stationary Environments with Policy-Augmented Search. - Ava Pettet; Yunuo Zhang; Baiting Luo; Kyle Hollins Wray; Hendrik Baier; Aron Laszka; Abhishek Dubey; Ayan Mukhopadhyay (AAMAS, 2024)

Constrained Hierarchical Monte Carlo Belief-State Planning. - Arec L. Jamgochian; Hugo Buurmeijer; Kyle Hollins Wray; Anthony Corso 001; Mykel J. Kochenderfer (ICRA, 2024)

Entropy-regularized Point-based Value Iteration. - Harrison Delecki; Marcell Vazquez-Chanlatte; Esen Yel; Kyle Hollins Wray; Tomer Arnon; Stefan J. Witwicki; Mykel J. Kochenderfer (CoRR, 2024)

Watercraft as Overwater Ambulance Exchange Points to Enhance Aeromedical Evacuation. - Mahdi Al-Husseini; Kyle Hollins Wray; Mykel J. Kochenderfer (CoRR, 2024)

Rao-Blackwellized POMDP Planning. - Jiho Lee; Nisar R. Ahmed; Kyle Hollins Wray; Zachary N. Sunberg (CoRR, 2024)

Hierarchical Framework for Optimizing Wildfire Surveillance and Suppression Using Human-Autonomous Teaming. - Mahdi Al-Husseini; Kyle Hollins Wray; Mykel J. Kochenderfer (J. Aerosp. Inf. Syst., 2024)

Semi-Markovian Planning to Coordinate Aerial and Maritime Medical Evacuation Platforms. - Mahdi Al-Husseini; Kyle Hollins Wray; Mykel J. Kochenderfer (AAAI, 2025)

NS-Gym: Open-Source Simulation Environments and Benchmarks for Non-Stationary Markov Decision Processes. - Nathaniel S. Keplinger; Baiting Luo; Iliyas Bektas; Yunuo Zhang; Kyle Hollins Wray; Aron Laszka; Abhishek Dubey; Ayan Mukhopadhyay (CoRR, 2025)