Glyph-Based Visual Analysis of Q-Leaning Based Action Policy Ensembles on Racetrack. In Ebad Banissi, Anna Ursyn, Mark W. McK. Bannatyne, João Moura Pires, Nuno Datia, Kawa Nazemi, Boris Kovalerchuk, Razvan Andonie, Minoru Nakayama, Filippo Sciarrone, Weidong Huang, Quang Vinh Nguyen, Mabule Samuel Mabakane, Adrian Rusu, Marco Temperini, Urska Cvek, Marjan Trutschl, Heimo Müller, Harri Siirtola, Wai Lok Woo, Rita Francese, Veronica Rossano, Tania Di Mascio, Fatma Bouali, Gilles Venturini, Sebastian Kernbach, Delfina Malandrino, Rocco Zaccagnino, Jian J. Zhang, Xiaosong Yang, and Vladimir Geroimenko (Eds.), 26th International Conference Information Visualisation, IV 2022, Vienna, Austria, July 19-22, 2022, 1--10, IEEE, 2022. [PUMA: topic_visualcomputing Action Analysis Based Glyph-Based Policy Q-Leaning Racetrack Visual] URL