Arec L. Jamgochian

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 14

Top Topics

Partially Observable Markov Decision Processes

Model Predictive Control

Planning Problems

Partially Observable

Top Venues

Publications

Paula Stocco, Suhas Chundi, Arec L. Jamgochian, Mykel J. Kochenderfer
Addressing Myopic Constrained POMDP Planning with Recursive Dual Ascent. CoRR (2024)
Arec L. Jamgochian, Hugo Buurmeijer, Kyle Hollins Wray, Anthony Corso, Mykel J. Kochenderfer
Constrained Hierarchical Monte Carlo Belief-State Planning. ICRA (2024)
Paula Stocco, Suhas Chundi, Arec L. Jamgochian, Mykel J. Kochenderfer
Addressing Myopic Constrained POMDP Planning with Recursive Dual Ascent. ICAPS (2024)
Robert J. Moss, Arec L. Jamgochian, Johannes Fischer, Anthony Corso, Mykel J. Kochenderfer
ConstrainedZero: Chance-Constrained POMDP Planning using Learned Probabilistic Failure Surrogates and Adaptive Safety Constraints. CoRR (2024)
Arec L. Jamgochian, Etienne Bührle, Johannes Fischer, Mykel J. Kochenderfer
SHAIL: Safety-Aware Hierarchical Adversarial Imitation Learning for Autonomous Driving in Urban Environments. ICRA (2023)
Arec L. Jamgochian, Hugo Buurmeijer, Kyle Hollins Wray, Anthony Corso, Mykel J. Kochenderfer
Constrained Hierarchical Monte Carlo Belief-State Planning. CoRR (2023)
Arec L. Jamgochian, Anthony Corso, Mykel J. Kochenderfer
Online Planning for Constrained POMDPs with Continuous Spaces through Dual Ascent. ICAPS (2023)
Arec L. Jamgochian, Anthony Corso, Mykel J. Kochenderfer
Online Planning for Constrained POMDPs with Continuous Spaces through Dual Ascent. CoRR (2022)
Arec L. Jamgochian, Kunal Menda, Mykel J. Kochenderfer
Multi-Vehicle Control in Roundabouts using Decentralized Game-Theoretic Planning. CoRR (2022)
Arec L. Jamgochian, Di Wu, Kunal Menda, Soyeon Jung, Mykel J. Kochenderfer
Conditional Approximate Normalizing Flows for Joint Multi-Step Probabilistic Forecasting with Application to Electricity Demand. CoRR (2022)
Arec L. Jamgochian, Etienne Bührle, Johannes Fischer, Mykel J. Kochenderfer
SHAIL: Safety-Aware Hierarchical Adversarial Imitation Learning for Autonomous Driving in Urban Environments. CoRR (2022)
Junyoung Park, Federico Berto, Arec L. Jamgochian, Mykel J. Kochenderfer, Jinkyoo Park
Meta-SysId: A Meta-Learning Approach for Simultaneous Identification and Prediction. CoRR (2022)
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)
Arec L. Jamgochian, Mykel J. Kochenderfer
Stochastic Model Predictive Control for Scheduling Charging of Electric Vehicle Fleets with Market Power. ICCVE (2019)