DJ-MC: A Reinforcement-Learning Agent for Music Playlist Recommendation. - Elad Liebman; Peter Stone 001 (CoRR, 2014)

Intelligent Learning Agents for Music-Based Interaction and Analysis. - Elad Liebman (AAMAS, 2015)

DJ-MC: A Reinforcement-Learning Agent for Music Playlist Recommendation. - Elad Liebman; Maytal Saar-Tsechansky; Peter Stone 001 (AAMAS, 2015)

How Music Alters Decision Making - Impact of Music Stimuli on Emotional Classification. - Elad Liebman; Peter Stone 001; Corey N. White (ISMIR, 2015)

Representative Selection in Nonmetric Datasets. - Elad Liebman; Benny Chor; Peter Stone 001 (Appl. Artif. Intell., 2015)

Representative Selection in Non Metric Datasets. - Elad Liebman; Benny Chor; Peter Stone 001 (CoRR, 2015)

Adaptation of Surrogate Tasks for Bipedal Walk Optimization. - Patrick MacAlpine; Elad Liebman; Peter Stone 001 (GECCO (Companion), 2016)

On the Analysis of Complex Backup Strategies in Monte Carlo Tree Search. - Piyush Khandelwal; Elad Liebman; Scott Niekum; Peter Stone 001 (ICML, 2016)

Impact of Music on Decision Making in Quantitative Tasks. - Elad Liebman; Peter Stone 001; Corey N. White (ISMIR, 2016)

UT Austin Villa: Project-Driven Research in AI and Robotics. - Katie Genter; Patrick MacAlpine; Jacob Menashe; Josiah Hanna; Elad Liebman; Sanmit Narvekar; Ruohan Zhang; Peter Stone 001 (IEEE Intell. Syst., 2016)

Designing Better Playlists with Monte Carlo Tree Search. - Elad Liebman; Piyush Khandelwal; Maytal Saar-Tsechansky; Peter Stone 001 (AAAI, 2017)

Autonomous Model Management via Reinforcement Learning: Extended Abstract. - Elad Liebman; Eric Zavesky; Peter Stone 001 (AAMAS, 2017)

Fast and Precise Black and White Ball Detection for RoboCup Soccer. - Jacob Menashe; Josh Kelle; Katie Genter; Josiah Hanna; Elad Liebman; Sanmit Narvekar; Ruohan Zhang; Peter Stone 001 (RoboCup, 2017)

Sequential Decision Making in Artificial Musical Intelligence. - Elad Liebman (AAAI, 2018)

Autonomous Model Management via Reinforcement Learning. - Elad Liebman; Eric Zavesky; Peter Stone 001 (AAAI Workshops, 2018)

A Stitch in Time - Autonomous Model Management via Reinforcement Learning. - Elad Liebman; Eric Zavesky; Peter Stone 001 (AAMAS, 2018)

On the Impact of Music on Decision Making in Cooperative Tasks. - Elad Liebman; Corey N. White; Peter Stone 001 (ISMIR, 2018)

The Right Music at the Right Time: Adaptive Personalized Playlists Based on Sequence Modeling. - Elad Liebman; Maytal Saar-Tsechansky; Peter Stone 001 (MIS Q., 2019)

Balancing Individual Preferences and Shared Objectives in Multiagent Reinforcement Learning. - Ishan Durugkar; Elad Liebman; Peter Stone 001 (IJCAI, 2020)

Artificial Musical Intelligence: A Survey. - Elad Liebman; Peter Stone 001 (CoRR, 2020)

Sequential Decision-Making in Musical Intelligence - Elad Liebman (Springer, 2020)

DM2: Distributed Multi-Agent Reinforcement Learning for Distribution Matching. - Caroline Wang; Ishan Durugkar; Elad Liebman; Peter Stone 001 (CoRR, 2022)

DM²: Decentralized Multi-Agent Reinforcement Learning via Distribution Matching. - Caroline Wang; Ishan Durugkar; Elad Liebman; Peter Stone 001 (AAAI, 2023)

Utilizing Mood-Inducing Background Music in Human-Robot Interaction. - Elad Liebman; Peter Stone 001 (CoRR, 2023)

N-agent Ad Hoc Teamwork. - Caroline Wang; Arrasy Rahman; Ishan Durugkar; Elad Liebman; Peter Stone 001 (NeurIPS, 2024)

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

Sequence Modeling for N-Agent Ad Hoc Teamwork. - Caroline Wang; Di Yang Shi; Elad Liebman; Ishan Durugkar; Arrasy Rahman; Peter Stone 001 (CoRR, 2025)