160 citations · 1.5k across the 122 of their papers we have counts for
4 papers · 2 filters
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…
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,…
An Actor-Critic Contextual Bandit Algorithm for Personalized Mobile Health Interventions
Huitian Lei, Yangyi Lu, Ambuj Tewari +1
Increasing technological sophistication and widespread use of smartphones and wearable devices provide opportunities for innovative and highly personalized health interventions. A…
Online Multiclass Boosting
Young Hun Jung, Jack Goetz, Ambuj Tewari
Recent work has extended the theoretical analysis of boosting algorithms to multiclass problems and to online settings. However, the multiclass extension is in the batch setting an…