A Methodology for the Development of RL-Based Adaptive Traffic Signal Controllers. - Guilherme S. Varela; Pedro P. Santos; Alberto Sardinha; Francisco S. Melo (CoRR, 2021)

Understanding the Impact of Data Distribution on Q-learning with Function Approximation. - Pedro P. Santos; Francisco S. Melo; Alberto Sardinha; Diogo S. Carvalho (CoRR, 2021)

Generalizing Objective-Specification in Markov Decision Processes. - Pedro P. Santos (AAMAS, 2024)

Centralized Training with Hybrid Execution in Multi-Agent Reinforcement Learning. - Pedro P. Santos; Diogo S. Carvalho; Miguel Vasco; Alberto Sardinha; Pedro A. Santos 001; Ana Paiva 001; Francisco S. Melo (AAMAS, 2024)

The Number of Trials Matters in Infinite-Horizon General-Utility Markov Decision Processes. - Pedro P. Santos; Alberto Sardinha; Francisco S. Melo (CoRR, 2024)

The impact of data distribution on Q-learning with function approximation. - Pedro P. Santos; Diogo S. Carvalho; Alberto Sardinha; Francisco S. Melo (Mach. Learn., 2024)

A Computational Model of Inclusive Pedagogy: From Understanding to Application. - Francesco Balzan; Pedro P. Santos; Maurizio Gabbrielli; Mahault Albarracin; Manuel Lopes 001 (CoRR, 2025)

Solving General-Utility Markov Decision Processes in the Single-Trial Regime with Online Planning. - Pedro P. Santos; Alberto Sardinha; Francisco S. Melo (CoRR, 2025)