254 citations · 275 across the 4 of their papers we have counts for
4 papers
Scaling Laws for Imitation Learning in Single-Agent Games
Jens Tuyls, Dhruv Madeka, Kari Torkkola +3
Imitation Learning (IL) is one of the most widely used methods in machine learning. Yet, many works find it is often unable to fully recover the underlying expert behavior, even in…
Deep Inventory Management
Dhruv Madeka, Kari Torkkola, Carson Eisenach +3
This work provides a Deep Reinforcement Learning approach to solving a periodic review inventory control system with stochastic vendor lead times, lost sales, correlated demand, an…
Deep Generative Quantile-Copula Models for Probabilistic Forecasting
Ruofeng Wen, Kari Torkkola
We introduce a new category of multivariate conditional generative models and demonstrate its performance and versatility in probabilistic time series forecasting and simulation. S…
A Multi-Horizon Quantile Recurrent Forecaster
Ruofeng Wen, Kari Torkkola, Balakrishnan Narayanaswamy +1
We propose a framework for general probabilistic multi-step time series regression. Specifically, we exploit the expressiveness and temporal nature of Sequence-to-Sequence Neural N…