160 citations · 1.5k across the 122 of their papers we have counts for
10 papers · 1 filter
Markov Decision Processes with Continuous Side Information
Aditya Modi, Nan Jiang, Satinder Singh +1
We consider a reinforcement learning (RL) setting in which the agent interacts with a sequence of episodic MDPs. At the start of each episode the agent has access to some side-info…
Action Centered Contextual Bandits
Kristjan Greenewald, Ambuj Tewari, Predrag Klasnja +1
Contextual bandits have become popular as they offer a middle ground between very simple approaches based on multi-armed bandits and very complex approaches using the full power of…
Online Learning via the Differential Privacy Lens
Jacob Abernethy, Young Hun Jung, Chansoo Lee +2
In this paper, we use differential privacy as a lens to examine online learning in both full and partial information settings. The differential privacy framework is, at heart, less…
Optimism-Based Adaptive Regulation of Linear-Quadratic Systems
Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, George Michailidis
The main challenge for adaptive regulation of linear-quadratic systems is the trade-off between identification and control. An adaptive policy needs to address both the estimation…
Online Boosting Algorithms for Multi-label Ranking
Young Hun Jung, Ambuj Tewari
We consider the multi-label ranking approach to multi-label learning. Boosting is a natural method for multi-label ranking as it aggregates weak predictions through majority votes,…
Finite Time Identification in Unstable Linear Systems
Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, George Michailidis
Identification of the parameters of stable linear dynamical systems is a well-studied problem in the literature, both in the low and high-dimensional settings. However, there are h…