31 citations · 58 across the 5 of their papers we have counts for
5 papers
Automatic Music Playlist Generation via Simulation-based Reinforcement Learning
Federico Tomasi, Joseph Cauteruccio, Surya Kanoria +3
Personalization of playlists is a common feature in music streaming services, but conventional techniques, such as collaborative filtering, rely on explicit assumptions regarding c…
Impatient Bandits: Optimizing Recommendations for the Long-Term Without Delay
Thomas M. McDonald, Lucas Maystre, Mounia Lalmas +2
Recommender systems are a ubiquitous feature of online platforms. Increasingly, they are explicitly tasked with increasing users' long-term satisfaction. In this context, we study…
A Strong Baseline for Batch Imitation Learning
Matthew Smith, Lucas Maystre, Zhenwen Dai +1
Imitation of expert behaviour is a highly desirable and safe approach to the problem of sequential decision making. We provide an easy-to-implement, novel algorithm for imitation l…
Value Iteration with Options and State Aggregation
Kamil Ciosek, David Silver
This paper presents a way of solving Markov Decision Processes that combines state abstraction and temporal abstraction. Specifically, we combine state aggregation with the options…
Compositional Planning Using Optimal Option Models
David Silver, Kamil Ciosek
In this paper we introduce a framework for option model composition. Option models are temporal abstractions that, like macro-operators in classical planning, jump directly from a…