Integration of Convolutional Neural Networks in Mobile Applications. - Roger Creus Castanyer; Silverio Martínez-Fernández; Xavier Franch (WAIN@ICSE, 2021)

Centralized control for multi-agent RL in a complex Real-Time-Strategy game. - Roger Creus Castanyer (CoRR, 2023)

Improving Intrinsic Exploration by Creating Stationary Objectives. - Roger Creus Castanyer; Joshua Romoff; Glen Berseth (ICLR, 2024)

Surprise-Adaptive Intrinsic Motivation for Unsupervised Reinforcement Learning. - Adriana Hugessen; Roger Creus Castanyer; Faisal Mohamed; Glen Berseth (RLJ, 2024)

Which design decisions in AI-enabled mobile applications contribute to greener AI? - Roger Creus Castanyer; Silverio Martínez-Fernández; Xavier Franch (Empir. Softw. Eng., 2024)

RLeXplore: Accelerating Research in Intrinsically-Motivated Reinforcement Learning. - Mingqi Yuan; Roger Creus Castanyer; Bo Li 037; Xin Jin 014; Wenjun Zeng 001; Glen Berseth (Trans. Mach. Learn. Res., 2025)

Stable Gradients for Stable Learning at Scale in Deep Reinforcement Learning. - Roger Creus Castanyer; Johan S. Obando-Ceron; Lu Li; Pierre-Luc Bacon; Glen Berseth; Aaron C. Courville; Pablo Samuel Castro (CoRR, 2025)