Search Results for author: Pedro A. Santos

Found 11 papers, 2 papers with code

Multi-Bellman operator for convergence of $Q$-learning with linear function approximation

no code implementations28 Sep 2023 Diogo S. Carvalho, Pedro A. Santos, Francisco S. Melo

By exploring the properties of this operator, we identify conditions under which the projected multi-Bellman operator becomes contractive, providing improved fixed-point guarantees compared to the Bellman operator.

Q-Learning

GAN-Based Content Generation of Maps for Strategy Games

no code implementations7 Jan 2023 Vasco Nunes, João Dias, Pedro A. Santos

Maps are a very important component of strategy games, and a time-consuming task if done by hand.

Centralized Training with Hybrid Execution in Multi-Agent Reinforcement Learning

1 code implementation12 Oct 2022 Pedro P. Santos, Diogo S. Carvalho, Miguel Vasco, Alberto Sardinha, Pedro A. Santos, Ana Paiva, Francisco S. Melo

We introduce hybrid execution in multi-agent reinforcement learning (MARL), a new paradigm in which agents aim to successfully complete cooperative tasks with arbitrary communication levels at execution time by taking advantage of information-sharing among the agents.

Multi-agent Reinforcement Learning reinforcement-learning +1

Emergent social NPC interactions in the Social NPCs Skyrim mod and beyond

no code implementations27 Jul 2022 Manuel Guimarães, Pedro A. Santos, Arnav Jhala

This work presents an implementation of a social architecture model for authoring Non-Player Character (NPC) in open world games inspired in academic research on agentbased modeling.

Towards Explainable Social Agent Authoring tools: A case study on FAtiMA-Toolkit

no code implementations7 Jun 2022 Manuel Guimarães, Joana Campos, Pedro A. Santos, João Dias, Rui Prada

In this paper we introduce the concept of Explainable Social Agent Authoring Tools with the goal of analysing if authoring tools for social agents are understandable and interpretable.

State of the Art in Artificial Intelligence applied to the Legal Domain

no code implementations10 Mar 2022 João Dias, Pedro A. Santos, Nuno Cordeiro, Ana Antunes, Bruno Martins, Jorge Baptista, Carlos Gonçalves

While Artificial Intelligence applied to the legal domain is a topic with origins in the last century, recent advances in Artificial Intelligence are posed to revolutionize it.

Semantic Norm Recognition and its application to Portuguese Law

no code implementations10 Mar 2022 Maria Duarte, Pedro A. Santos, João Dias, Jorge Baptista

Being able to clearly interpret legal texts and fully understanding our rights, obligations and other legal norms has become progressively more important in the digital society.

Information Retrieval Retrieval

FAtiMA Toolkit -- Toward an effective and accessible tool for the development of intelligent virtual agents and social robots

no code implementations4 Mar 2021 Samuel Mascarenhas, Manuel Guimarães, Pedro A. Santos, João Dias, Rui Prada, Ana Paiva

More than a decade has passed since the development of FearNot!, an application designed to help children deal with bullying through role-playing with virtual characters.

Decision Making Multiagent Systems Human-Computer Interaction Robotics

CHARET: Character-centered Approach to Emotion Tracking in Stories

no code implementations15 Feb 2021 Diogo S. Carvalho, Joana Campos, Manuel Guimarães, Ana Antunes, João Dias, Pedro A. Santos

Autonomous agents that can engage in social interactions witha human is the ultimate goal of a myriad of applications.

Equilibrium Propagation for Complete Directed Neural Networks

1 code implementation15 Jun 2020 Matilde Tristany Farinha, Sérgio Pequito, Pedro A. Santos, Mário A. T. Figueiredo

Artificial neural networks, one of the most successful approaches to supervised learning, were originally inspired by their biological counterparts.

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