Elad Liebman

According to our database1, Elad Liebman authored at least 26 papers between 2014 and 2024.

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Bibliography

2024
Pattern-Based Time-Series Risk Scoring for Anomaly Detection and Alert Filtering - A Predictive Maintenance Case Study.
CoRR, 2024

N-Agent Ad Hoc Teamwork.
CoRR, 2024

2023
Utilizing Mood-Inducing Background Music in Human-Robot Interaction.
CoRR, 2023

DM²: Decentralized Multi-Agent Reinforcement Learning via Distribution Matching.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
DM<sup>2</sup>: Distributed Multi-Agent Reinforcement Learning for Distribution Matching.
CoRR, 2022

2020
Sequential Decision-Making in Musical Intelligence
Studies in Computational Intelligence 857, Springer, ISBN: 978-3-030-30518-5, 2020

Artificial Musical Intelligence: A Survey.
CoRR, 2020

Balancing Individual Preferences and Shared Objectives in Multiagent Reinforcement Learning.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019
The Right Music at the Right Time: Adaptive Personalized Playlists Based on Sequence Modeling.
MIS Q., 2019

2018
On the Impact of Music on Decision Making in Cooperative Tasks.
Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018

A Stitch in Time - Autonomous Model Management via Reinforcement Learning.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Autonomous Model Management via Reinforcement Learning.
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Sequential Decision Making in Artificial Musical Intelligence.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Fast and Precise Black and White Ball Detection for RoboCup Soccer.
Proceedings of the RoboCup 2017: Robot World Cup XXI [Nagoya, Japan, July 27-31, 2017]., 2017

Autonomous Model Management via Reinforcement Learning: Extended Abstract.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

Designing Better Playlists with Monte Carlo Tree Search.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
UT Austin Villa: Project-Driven Research in AI and Robotics.
IEEE Intell. Syst., 2016

Impact of Music on Decision Making in Quantitative Tasks.
Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016

On the Analysis of Complex Backup Strategies in Monte Carlo Tree Search.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Adaptation of Surrogate Tasks for Bipedal Walk Optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

2015
Representative Selection in Non Metric Datasets.
CoRR, 2015

Representative Selection in Nonmetric Datasets.
Appl. Artif. Intell., 2015

How Music Alters Decision Making - Impact of Music Stimuli on Emotional Classification.
Proceedings of the 16th International Society for Music Information Retrieval Conference, 2015

DJ-MC: A Reinforcement-Learning Agent for Music Playlist Recommendation.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

Intelligent Learning Agents for Music-Based Interaction and Analysis.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

2014
DJ-MC: A Reinforcement-Learning Agent for Music Playlist Recommendation.
CoRR, 2014


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