most citedDynamic Retail Pricing via Q-Learning -- A Reinforcement Learning Framework for Enhanced Revenue Management

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

math.OC2026

Constrained Spatial Pricing of On-Street Parking with Bayesian Demand Calibration

Ananya Kale, Mohit Apte

Occupancy-targeted curb pricing, including San Francisco's SFpark pilot, often relies on local threshold rules that do not account for spatial substitution or uncertainty in demand…

math.OC2026

Stochastic Mixed-Integer Optimization of Dynamic Electricity Tariffs with Consumer Protection

Ananya Kale, Mohit Apte, Chhaya Gosavi

Day-ahead residential tariffs must be posted before demand is observed. Aggressive high prices can cut peaks in simulation, but they can also raise customer bills. This paper measu…

cs.LG2024★ 1 cited

Dynamic Retail Pricing via Q-Learning -- A Reinforcement Learning Framework for Enhanced Revenue Management

Mohit Apte, Ketan Kale, Pranav Datar +1

This paper explores the application of a reinforcement learning (RL) framework using the Q-Learning algorithm to enhance dynamic pricing strategies in the retail sector. Unlike tra…