4 citations · 9 across the 12 of their papers we have counts for
12 papers
Distributionally Robust Control with Constraints on Linear Unidimensional Projections
Alexandros E. Tzikas, Lukas Fiechtner, Arec Jamgochian +1
Distributionally robust control is a well-studied framework for optimal decision making under uncertainty, with the objective of minimizing an expected cost function over control a…
Model Identification Adaptive Control with -POMDP Planning
Michelle Ho, Arec Jamgochian, Mykel J. Kochenderfer
Accurate system modeling is crucial for safe, effective control, as misidentification can lead to accumulated errors, especially under partial observability. We address this proble…
ConstrainedZero: Chance-Constrained POMDP Planning using Learned Probabilistic Failure Surrogates and Adaptive Safety Constraints
Robert J. Moss, Arec Jamgochian, Johannes Fischer +2
To plan safely in uncertain environments, agents must balance utility with safety constraints. Safe planning problems can be modeled as a chance-constrained partially observable Ma…
Addressing Myopic Constrained POMDP Planning with Recursive Dual Ascent
Paula Stocco, Suhas Chundi, Arec Jamgochian +1
Lagrangian-guided Monte Carlo tree search with global dual ascent has been applied to solve large constrained partially observable Markov decision processes (CPOMDPs) online. In th…
Constrained Hierarchical Monte Carlo Belief-State Planning
Arec Jamgochian, Hugo Buurmeijer, Kyle H. Wray +2
Optimal plans in Constrained Partially Observable Markov Decision Processes (CPOMDPs) maximize reward objectives while satisfying hard cost constraints, generalizing safe planning…
Online Planning for Constrained POMDPs with Continuous Spaces through Dual Ascent
Arec Jamgochian, Anthony Corso, Mykel J. Kochenderfer
Rather than augmenting rewards with penalties for undesired behavior, Constrained Partially Observable Markov Decision Processes (CPOMDPs) plan safely by imposing inviolable hard c…
Meta-SysId: A Meta-Learning Approach for Simultaneous Identification and Prediction
Junyoung Park, Federico Berto, Arec Jamgochian +2
In this paper, we propose Meta-SysId, a meta-learning approach to model sets of systems that have behavior governed by common but unknown laws and that differentiate themselves by…
SHAIL: Safety-Aware Hierarchical Adversarial Imitation Learning for Autonomous Driving in Urban Environments
Arec Jamgochian, Etienne Buehrle, Johannes Fischer +1
Designing a safe and human-like decision-making system for an autonomous vehicle is a challenging task. Generative imitation learning is one possible approach for automating policy…
Conditional Approximate Normalizing Flows for Joint Multi-Step Probabilistic Forecasting with Application to Electricity Demand
Arec Jamgochian, Di Wu, Kunal Menda +2
Some real-world decision-making problems require making probabilistic forecasts over multiple steps at once. However, methods for probabilistic forecasting may fail to capture corr…
Multi-Vehicle Control in Roundabouts using Decentralized Game-Theoretic Planning
Arec Jamgochian, Kunal Menda, Mykel J. Kochenderfer
Safe navigation in dense, urban driving environments remains an open problem and an active area of research. Unlike typical predict-then-plan approaches, game-theoretic planning co…
Developing Microwave Photonic Temperature Sensors
Arec Jamgochian, John Quintavalle, Alejandra Torres-Diaz +3
In recent years there has been considerable interest in exploiting the temperature dependence of sapphire whispering gallery mode frequency to develop a mechanically stable, high a…
Baryons and Low-Density Baryonic Matter in 1+1 Dimensional Large N_c QCD with Heavy Quarks
Prabal Adhikari, Thomas D. Cohen, Arec Jamgochian +1
This paper studies baryons and baryonic matter in the combined large N_c and heavy quark mass limits of QCD in 1+1 dimension. In this non-relativistic limit, baryons are composed o…