Click to filterPedro SantosProfessor Associado | AIPS
Total displayed: 38
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- Towards Long-term Interactions with Socially Interactive Agents
Ana Teresa Jerónimo Antunes
Pedro Santos (advisor)
Joana Campos (coadvisor)
Instituto Superior Técnico, Universidade de Lisboa
2021 - Convergence analysis of reinforcement learning with function approximation
Diogo Carvalho
Francisco S. Melo (advisor)
Pedro Santos (coadvisor)
Instituto Superior Técnico, Universidade de Lisboa
2020
- FlexiDialogue - Integrating Dialog Trees with LLMs
João Fernandes
Pedro Santos (advisor)
João Miguel de Sousa de Assis Dias (coadvisor)
Departamento de Engenharia Informática, Instituto Superior Técnico, Universidade de Lisboa
2024 - Learning to play strategy board games
Guilherme Palma
Pedro Santos (advisor)
João Miguel de Sousa de Assis Dias (coadvisor)
Instituto Superior Técnico, Universidade de Lisboa
2023 - LLMs Applied to Embodied Virtual Agents
Gonçalo Rodrigues
Pedro Santos (advisor)
João Miguel de Sousa de Assis Dias (coadvisor)
Departamento de Engenharia Electrotécnica e de Computadores, Instituto Superior Técnico, Universidade de Lisboa
2023 - AlphaSCS: Playing hex and counter board games with reinforcement learning and recurrent neural networks
Guilherme Palma
Pedro Santos (advisor)
João Miguel de Sousa de Assis Dias (coadvisor)
Departamento de Engenharia Informática, Instituto Superior Técnico, Universidade de Lisboa
2023 - MentalRAG: Developing an Agentic Framework for Therapeutic Support Systems
Francisco Ribeiro e Silva
Pedro Santos (advisor)
João Miguel de Sousa de Assis Dias (coadvisor)
Departamento de Engenharia Informática, Instituto Superior Técnico, Universidade de Lisboa
2023 - Mathematical Foundation of Machine Learning
Telmo Cunha
Pedro Santos (advisor)
Instituto Superior Técnico, Universidade de Lisboa
2022 - NFLegacy, towards a NFT-based Game Ecosystem
Pedro Branco Tricheiras
Pedro Santos (advisor)
João Miguel de Sousa de Assis Dias (coadvisor)
Departamento de Engenharia Informática, Instituto Superior Técnico, Universidade de Lisboa
2022 - Machine Learning techniques applied to the game Diplomacy
André Jardim Fernandes de Araújo
Pedro Santos (advisor)
João Miguel de Sousa de Assis Dias (coadvisor)
Departamento de Engenharia Informática, Instituto Superior Técnico, Universidade de Lisboa
2021 - Deep Reinforcement Learning for the Generation of Emotionally Expressive Animations for Virtual Characters
Diogo Silva
Pedro Santos (advisor)
João Miguel de Sousa de Assis Dias (coadvisor)
Instituto Superior Técnico, Universidade de Lisboa
2021 - Creation of a Mental Health Virtual Assistant for College Students
André Spínola Rodrigues Antunes
Pedro Santos (advisor)
João Miguel de Sousa de Assis Dias (coadvisor)
Instituto Superior Técnico, Universidade de Lisboa
2021 - Dual Critic Conditional Wasserstein GAN for Height-Map Generation
Nuno Miguel Ramos
Pedro Santos (advisor)
João Miguel de Sousa de Assis Dias (coadvisor)
Instituto Superior Técnico, Universidade de Lisboa
2021 - Question Generation for the Portuguese Language
Rafael Galhoz
Pedro Santos (advisor)
Bruno Martins (coadvisor)
Instituto Superior Técnico, Universidade de Lisboa
2021 - Real Estate Official Data Analysis for market prediction
Mariana Bento Ferreira
Pedro Santos (advisor)
João Miguel de Sousa de Assis Dias (coadvisor)
Instituto Superior Técnico, Universidade de Lisboa
2021 - Real Estate Market Analysis For Investment and Buying Cycles Prediction
Maria Leitão
Pedro Santos (advisor)
Instituto Superior Técnico, Universidade de Lisboa
2021 - Building Rocket League bots with deep reinforcement learning
Carlos Miguel Rodrigues Sequeira
Alberto Sardinha (advisor)
Pedro Santos (coadvisor)
Instituto Superior Técnico, Universidade de Lisboa
2021 - A Semantic Search System for the Supremo Tribunal de Justiça
Rui Melo
Pedro Santos (advisor)
João Miguel de Sousa de Assis Dias (coadvisor)
Instituto Superior Técnico, Universidade de Lisboa
2020 - Policy distillation for efficient ad hoc teamwork
Inês Vieira
Francisco S. Melo (advisor)
Pedro Santos (coadvisor)
Instituto Superior Técnico, Universidade de Lisboa
2020 - NLP Applied To Portuguese Consumer Law
Nuno Cordeiro
João Miguel de Sousa de Assis Dias (advisor)
Pedro Santos (coadvisor)
Instituto Superior Técnico, Universidade de Lisboa
2020 - Friendly Lords: Implementing an Artificial Intelligence Social Architecture in Mount & Blade II: Bannerlord
David Cristóvão Ricardo
João Miguel de Sousa de Assis Dias (advisor)
Pedro Santos (coadvisor)
Universidade do Algarve
2020 - A Procedural Quest Generator for Mount & Blade II:Bannerlord
Marco António dos Santos Cabral
Pedro Santos (advisor)
João Miguel de Sousa de Assis Dias (coadvisor)
Instituto Superior Técnico, Universidade de Lisboa
2020 - CiF-Bannerlord, a Social Artificial Intelligence System for Mount and Blade II: Bannerlord
Filipe Miguel Dias da Silveira
Pedro Santos (advisor)
João Miguel de Sousa de Assis Dias (coadvisor)
Instituto Superior Técnico, Universidade de Lisboa
2020 - Cunning Lords: Tactical AI and Troop Control for Mount &Blade II: Bannerlord
Joaquim Manuel Rebotim Rosado Piteira Quadrado
Pedro Santos (advisor)
João Miguel de Sousa de Assis Dias (coadvisor)
Instituto Superior Técnico, Universidade de Lisboa
2020 - Designing and Implementing a RTS-like management game
Nuno Miguel Leitão Afonso
Pedro Santos (advisor)
Instituto Superior Técnico, Universidade de Lisboa
2020 - Natural Language Processing applied to the Portuguese Consumer Law
Maria Ana de Sousa e Moura Duarte
Pedro Santos (advisor)
João Miguel de Sousa de Assis Dias (coadvisor)
Instituto Superior Técnico, Universidade de Lisboa
2020 - THE GENERAL LORD – Designing And Implementing A Persistent Multiplayer Mode in a AAA game
Marcos Pedrosa Pêgo
Pedro Santos (advisor)
João Miguel de Sousa de Assis Dias (coadvisor)
Instituto Superior Técnico, Universidade de Lisboa
2020 - Bandit-Based Strategies for Monte Carlo Planning in Continuous action spaces
Ricardo Manuel Quinteiro Lopes dos Santos
Pedro Santos (advisor)
Francisco S. Melo (coadvisor)
Instituto Superior Técnico, Universidade de Lisboa
2019 - Character Locomotion using Imitation Learning from Observations with Wavelets
João Manuel da Silva Carias
João Miguel de Sousa de Assis Dias (advisor)
Pedro Santos (coadvisor)
Instituto Superior Técnico, Universidade de Lisboa
2019 - GAN-Based Content Generation of Maps for Strategy Games
Vasco De Andrade Soares Nunes
Pedro Santos (advisor)
João Miguel de Sousa de Assis Dias (coadvisor)
Instituto Superior Técnico, Universidade de Lisboa
2019 - MCTS-based Planning for Grand Strategy Games
Manuel António Felizardo Roxo
Pedro Santos (advisor)
João Miguel de Sousa de Assis Dias (coadvisor)
Instituto Superior Técnico, Universidade de Lisboa
2019 - On the Performance of GANs for Estimating Univariate Distributions
Carolina Gonçalves Guerra
Pedro Santos (advisor)
João Miguel de Sousa de Assis Dias (coadvisor)
Instituto Superior Técnico, Universidade de Lisboa
2019 - Deep Learning in Social Interactions
António Pedro Pinto Capela
Pedro Santos (advisor)
Manuel Lopes (coadvisor)
Instituto Superior Técnico, Universidade de Lisboa
2019 - Applications of Relational and Symbolic Reinforcemente Learning in Games
Alexandre Miguel Nunes Tomé
Pedro Santos (advisor)
João Miguel de Sousa de Assis Dias (coadvisor)
Instituto Superior Técnico, Universidade de Lisboa
2019 - Solving the Operational Crew Rescheduling Problem
Miguel Alexandre Cerejo Frazão
Pedro Santos (advisor)
João Pavão Martins (coadvisor)
Instituto Superior Técnico, Universidade de Lisboa
2018 - A convergent variant of Q-learning with linear function approximation
Diogo Carvalho
Francisco S. Melo (advisor)
Pedro Santos (coadvisor)
Instituto Superior Técnico, Universidade de Lisboa
2018 - LINA: A Serious Game To Help Children Improve Social Relations With Their Peers
Diogo Martins
João Miguel de Sousa de Assis Dias (advisor)
Pedro Santos (coadvisor)
Instituto Superior Técnico, Universidade de Lisboa
2018
- Internship
Gonçalo Rodrigues
João Miguel de Sousa de Assis Dias (advisor), Pedro Santos (advisor)
INESC-ID Lisboa
2024