1 citations · 1 across the 6 of their papers we have counts for
6 papers
Risk-Aware General-Utility Markov Decision Processes
Pedro P. Santos, Fábio Vital, Alberto Sardinha +1
We study general-utility Markov decision processes (GUMDPs) with risk-aware objectives. In this framework, an agent aims to optimize a risk measure of the distribution of objective…
Entropic Risk-Aware Monte Carlo Tree Search
Pedro P. Santos, Jacopo Silvestrin, Alberto Sardinha +1
We propose a provably correct Monte Carlo tree search (MCTS) algorithm for solving risk-aware Markov decision processes (MDPs) with entropic risk measure (ERM) objectives. We provi…
The Number of Trials Matters in Infinite-Horizon General-Utility Markov Decision Processes
Pedro P. Santos, Alberto Sardinha, Francisco S. Melo
The general-utility Markov decision processes (GUMDPs) framework generalizes the MDPs framework by considering objective functions that depend on the frequency of visitation of sta…
Centralized Training with Hybrid Execution in Multi-Agent Reinforcement Learning
Pedro P. Santos, Diogo S. Carvalho, Miguel Vasco +4
We introduce hybrid execution in multi-agent reinforcement learning (MARL), a new paradigm in which agents aim to successfully complete cooperative tasks with arbitrary communicati…
The Impact of Data Distribution on Q-learning with Function Approximation
Pedro P. Santos, Diogo S. Carvalho, Alberto Sardinha +1
We study the interplay between the data distribution and Q-learning-based algorithms with function approximation. We provide a unified theoretical and empirical analysis as to how…
A Methodology for the Development of RL-Based Adaptive Traffic Signal Controllers
Guilherme S. Varela, Pedro P. Santos, Alberto Sardinha +1
This article proposes a methodology for the development of adaptive traffic signal controllers using reinforcement learning. Our methodology addresses the lack of standardization i…