| Dj-mc: A reinforcement-learning agent for music playlist recommendation E Liebman, M Saar-Tsechansky, P Stone Proceedings of the 14th International Conference on Autonomous Agents and …, 2015 | 99 | 2015 |
| Drugs that reverse disease transcriptomic signatures are more effective in a mouse model of dyslipidemia A Wagner, N Cohen, T Kelder, U Amit, E Liebman, DM Steinberg, ... Molecular systems biology 11 (3), 791, 2015 | 45 | 2015 |
| The right music at the right time: Adaptive personalized playlists based on sequence modeling. E Liebman, M Saar-Tsechansky, P Stone Mis Quarterly 43 (3), 2019 | 42 | 2019 |
| A phylogenetic approach to music performance analysis E Liebman, E Ornoy, B Chor Journal of New Music Research 41 (2), 195-222, 2012 | 34 | 2012 |
| Fast and precise black and white ball detection for robocup soccer J Menashe, J Kelle, K Genter, J Hanna, E Liebman, S Narvekar, R Zhang, ... RoboCup 2017: Robot World Cup XXI 11, 45-58, 2018 | 29 | 2018 |
| On the analysis of complex backup strategies in monte carlo tree search P Khandelwal, E Liebman, S Niekum, P Stone International Conference on Machine Learning, 1319-1328, 2016 | 19 | 2016 |
| Decision mechanisms underlying mood-congruent emotional classification CN White, E Liebman, P Stone Cognition and Emotion 32 (2), 249-258, 2018 | 18 | 2018 |
| HOW MUSIC ALTERS DECISION MAKING-IMPACT OF MUSIC STIMULI ON EMOTIONAL CLASSIFICATION E Liebman, P Stone, CN White | 16 | 2015 |
| Balancing Individual Preferences and Shared Objectives in Multiagent Reinforcement Learning I Durugkar, E Liebman, P Stone IJCAI 2020, 2020 | 13 | 2020 |
| Artificial musical intelligence: A survey E Liebman, P Stone arXiv preprint arXiv:2006.10553, 2020 | 12 | 2020 |
| A stitch in time-autonomous model management via reinforcement learning E Liebman, E Zavesky, P Stone Proceedings of the 17th International Conference on Autonomous Agents and …, 2018 | 9* | 2018 |
| Designing better playlists with monte carlo tree search E Liebman, P Khandelwal, M Saar-Tsechansky, P Stone Proceedings of the AAAI Conference on Artificial Intelligence 31 (2), 4715-4720, 2017 | 8 | 2017 |
| UT Austin Villa: project-driven research in AI and robotics K Genter, P MacAlpine, J Menashe, J Hannah, E Liebman, S Narvekar, ... IEEE Intelligent Systems 31 (2), 94-101, 2016 | 7 | 2016 |
| Bin-based estimation of the amount of effort for embedded software development projects with support vector machines K Iwata, E Liebman, P Stone, T Nakashima, Y Anan, N Ishii Computer and Information Science 2015, 157-169, 2016 | 6 | 2016 |
| Sequential decision-making in musical intelligence E Liebman Springer International Publishing, 2020 | 5 | 2020 |
| Representative selection in nonmetric datasets E Liebman, B Chor, P Stone Applied Artificial Intelligence 29 (8), 807-838, 2015 | 5 | 2015 |
| Calibrating real-world systems using simulation learning E Liebman, S Sudarsan US Patent App. 16/945,084, 2022 | 4 | 2022 |
| On the Impact of Music on Decision Making in Cooperative Tasks. E Liebman, CN White, P Stone ISMIR, 695-701, 2018 | 4 | 2018 |
| IMPACT OF MUSIC ON DECISION MAKING IN QUANTITATIVE TASKS E Liebman, P Stone, CN White | 4 | 2016 |
| Adaptation of Surrogate Tasks for Bipedal Walk Optimization P MacAlpine, E Liebman, P Stone | 3 | 2016 |
Peter StoneProfessor of Computer Science, The University of Texas at AustinVerified email at cs.utexas.edu
