Exploration in Interactive Personalized Music Recommendation: A Reinforcement Learning Approach

6 November 2013

Papers citing "Exploration in Interactive Personalized Music Recommendation: A Reinforcement Learning Approach"

22 / 22 papers shown

Title
Optimization of Epsilon-Greedy Exploration Ethan Che Hakan Ceylan James McInerney Nathan Kallus 25 0 0 03 Jun 2025
Automatic Music Playlist Generation via Simulation-based Reinforcement Learning Federico Tomasi Joseph Cauteruccio Surya Kanoria K. Ciosek Matteo Rinaldi Zhenwen Dai OffRL 59 6 0 13 Oct 2023
Increasing Entropy to Boost Policy Gradient Performance on Personalization Tasks Andrew Starnes Anton Dereventsov Clayton Webster 54 0 0 09 Oct 2023
Psychotherapy AI Companion with Reinforcement Learning Recommendations and Interpretable Policy Dynamics Baihan Lin Guillermo Cecchi Djallel Bouneffouf OffRL AI4TS AI4MH 99 11 0 16 Mar 2023
Examining Policy Entropy of Reinforcement Learning Agents for Personalization Tasks Anton Dereventsov Andrew Starnes Clayton Webster 62 4 0 21 Nov 2022
Simulated Contextual Bandits for Personalization Tasks from Recommendation Datasets Anton Dereventsov A. Bibin 57 1 0 12 Oct 2022
SupervisorBot: NLP-Annotated Real-Time Recommendations of Psychotherapy Treatment Strategies with Deep Reinforcement Learning Baihan Lin Guillermo Cecchi Djallel Bouneffouf OffRL 86 12 0 27 Aug 2022
Reinforcement Learning for Linear Quadratic Control is Vulnerable Under Cost Manipulation Yunhan Huang Quanyan Zhu OffRL AAML 70 4 0 11 Mar 2022
On the Unreasonable Efficiency of State Space Clustering in Personalization Tasks Anton Dereventsov R. Vatsavai Clayton Webster 68 5 0 24 Dec 2021
An Empirical Analysis on Transparent Algorithmic Exploration in Recommender Systems Kihwan Kim 21 0 0 31 Jul 2021
A Deep Reinforcement Learning Approach for Traffic Signal Control Optimization Zhenning Li Chengzhong Xu Guohui Zhang 26 6 0 13 Jul 2021
Productivity, Portability, Performance: Data-Centric Python Yiheng Wang Yao Zhang Yanzhang Wang Yan Wan Jiao Wang Zhongyuan Wu Yuhao Yang Bowen She 161 101 0 01 Jul 2021
Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference Xiaocong Chen Lina Yao Xianzhi Wang Aixin Sun Wenjie Zhang Quan Z. Sheng 48 8 0 03 May 2021
Leveraging Post Hoc Context for Faster Learning in Bandit Settings with Applications in Robot-Assisted Feeding E. Gordon Sumegh Roychowdhury Tapomayukh Bhattacharjee Kevin Jamieson S. Srinivasa 145 20 0 05 Nov 2020
Deep Bayesian Bandits: Exploring in Online Personalized Recommendations Dalin Guo S. Ktena Ferenc Huszár Pranay K. Myana Wenzhe Shi Alykhan Tejani OffRL 78 40 0 03 Aug 2020
Artificial Musical Intelligence: A Survey Elad Liebman Peter Stone MGen 33 7 0 17 Jun 2020
Adaptive Robot-Assisted Feeding: An Online Learning Framework for Acquiring Previously Unseen Food Items E. Gordon Xiang Meng Matt Barnes Tapomayukh Bhattacharjee S. Srinivasa OffRL OnRL 152 47 0 19 Aug 2019
Adversarial Mahalanobis Distance-based Attentive Song Recommender for Automatic Playlist Continuation Thanh-Binh Tran Renee Sweeney Kyumin Lee 70 32 0 08 Jun 2019
Explore-Exploit: A Framework for Interactive and Online Learning Honglei Liu Anuj Kumar Wenhai Yang Benoît Dumoulin 21 4 0 01 Dec 2018
Sherlock: Sparse Hierarchical Embeddings for Visually-aware One-class Collaborative Filtering Ruining He Chunbin Lin Jianguo Wang Julian McAuley 65 65 0 20 Apr 2016
The Use of Machine Learning Algorithms in Recommender Systems: A Systematic Review I. Portugal Paulo S. C. Alencar Donald D. Cowan 149 615 0 17 Nov 2015
DJ-MC: A Reinforcement-Learning Agent for Music Playlist Recommendation Elad Liebman M. Saar-Tsechansky Peter Stone 95 79 0 09 Jan 2014