10 citations · 19 across the 8 of their papers we have counts for
4 papers · 1 filter
Resolution-Aware Retrieval Augmented Zero-Shot Forecasting
Iman Deznabi, Peeyush Kumar, Madalina Fiterau
Zero-shot forecasting aims to predict outcomes for previously unseen conditions without direct historical data, posing a significant challenge for traditional forecasting methods.…
Multi-market Energy Optimization with Renewables via Reinforcement Learning
Lucien Werner, Peeyush Kumar
This paper introduces a deep reinforcement learning (RL) framework for optimizing the operations of power plants pairing renewable energy with storage. The objective is to maximize…
General sum stochastic games with networked information flows
Sarah H. Q. Li, Lillian J. Ratliff, Peeyush Kumar
Inspired by applications such as supply chain management, epidemics, and social networks, we formulate a stochastic game model that addresses three key features common across these…
Near Optimal Hamiltonian-Control and Learning via Chattering
Peeyush Kumar, Wolf Kohn, Zelda B. Zabinsky
Many applications require solving non-linear control problems that are classically not well behaved. This paper develops a simple and efficient chattering algorithm that learns nea…