Deep Reinforcement and Imitation Learning for Self-driving Tasks. - Sergio Hernández-García; Alfredo Cuesta-Infante (CAEPIA, 2021)

A Case of Study on Traffic Cone Detection for Autonomous Racing on a Jetson Platform. - Javier Albaráñez Martínez; Laura Llopis-Ibor; Sergio Hernández-García; Susana Pineda de Luelmo; Daniel Hernández-Ferrándiz (IbPRIA, 2022)

Synthetic Spermatozoa Video Sequences Generation Using Adversarial Imitation Learning. - Sergio Hernández-García; Alfredo Cuesta-Infante; Antonio S. Montemayor (IbPRIA, 2023)

Towards Clear Evaluation of Robotic Visual Semantic Navigation. - Carlos Gutiérrez-Álvarez; Sergio Hernández-García; Nadia Nasri; Alfredo Cuesta-Infante; Roberto Javier López-Sastre (ICARA, 2023)

Deep reinforcement learning for automated search of model parameters: photo-fenton wastewater disinfection case study. - Sergio Hernández-García; Alfredo Cuesta-Infante; José Ángel Moreno-SanSegundo; Antonio S. Montemayor (Neural Comput. Appl., 2023)

MPD: A Meteorological and Pollution Dataset: A Comprehensive Study of Machine and Deep Learning Methods for Air Pollution Forecasting. - Alejandra Abalo-García; Sergio Hernández-García; Iván Ramírez; Emanuele Schiavi (IEEE Access, 2025)

Real-like synthetic sperm video generation from learned behaviors. - Sergio Hernández-García; Alfredo Cuesta-Infante; Dimitrios Makris 001; Antonio S. Montemayor (Appl. Intell., 2025)