12 citations · 25 across the 13 of their papers we have counts for
9 papers · 1 filter
Non-stationary Bandits with Habituation and Recovery Dynamics and Knapsack Constraints
Qinyang He, Yonatan Mintz
Multi-armed bandit models have proven to be useful in modeling many real world problems in the areas of control and sequential decision making with partial information. However, in…
Model Based Reinforcement Learning for Personalized Heparin Dosing
Qinyang He, Yonatan Mintz
A key challenge in sequential decision making is optimizing systems safely under partial information. While much of the literature has focused on the cases of either partially know…
Optimal Policy for Inventory Management with Periodic and Controlled Resets
Yoon Lee, Yonatan Mintz, Anil Aswani +2
Inventory management problems with periodic and controllable resets occur in the context of managing water storage in the developing world and retailing limited-time availability p…
Designing Real-Time Prices to Reduce Load Variability with HVAC
John Audie Cabrera, Yonatan Mintz, Jhoanna Rhodette Pedrasa +1
Utilities use demand response to shift or reduce electricity usage of flexible loads, to better match electricity demand to power generation. A common mechanism is peak pricing (PP…
Non-Stationary Bandits with Habituation and Recovery Dynamics
Yonatan Mintz, Anil Aswani, Philip Kaminsky +2
Many settings involve sequential decision-making where a set of actions can be chosen at each time step, each action provides a stochastic reward, and the distribution for the rewa…
Local Water Storage Control for the Developing World
Yonatan Mintz, Zuo-Jun Max Shen, Anil Aswani
Most cities in India do not have water distribution networks that provide water throughout the entire day. As a result, it is common for homes and apartment buildings to utilize wa…
Behavioral Analytics for Myopic Agents
Yonatan Mintz, Anil Aswani, Philip Kaminsky +2
Many multi-agent systems have the structure of a single coordinator providing behavioral or financial incentives to a large number of agents. Two challenges faced by the coordinato…
Control Synthesis for Bilevel Linear Model Predictive Control
Yonatan Mintz, John Audie Cabrera, Jhoanna Rhodette Pedrasa +1
Distributed model predictive control (MPC) is either cooperative or competitive, and control-theoretic properties have been less studied in the competitive (e.g., game theory) sett…
Polynomial-Time Approximation for Nonconvex Optimization Problems with an L1-Constraint
Yonatan Mintz, Anil Aswani
Nonconvex optimization problems with an L1-constraint are ubiquitous, and are found in many application domains including: optimal control of hybrid systems, machine learning and s…