Inverse Reinforcement Learning with Evaluation. - Valdinei Freire da Silva; Anna Helena Reali Costa; Pedro U. Lima (ICRA, 2006)

Eliciting preferences over observed behaviours based on relative evaluations. - Valdinei Freire da Silva; Pedro U. Lima; Anna Helena Reali Costa (IROS, 2007)

Compulsory Flow Q-Learning: an RL algorithm for robot navigation based on partial-policy and macro-states. - Valdinei Freire da Silva; Anna Helena Reali Costa (J. Braz. Comput. Soc., 2009)

Stochastic Abstract Policies for Knowledge Transfer in Robotic Navigation Tasks. - Tiago Matos; Yannick Plaino Bergamo; Valdinei Freire da Silva; Anna Helena Reali Costa (MICAI (1), 2011)

A Geometric Approach to Find Nondominated Policies to Imprecise Reward MDPs. - Valdinei Freire da Silva; Anna Helena Reali Costa (ECML/PKDD (1), 2011)

Simultaneous Abstract and Concrete Reinforcement Learning. - Tiago Matos; Yannick Plaino Bergamo; Valdinei Freire da Silva; Fábio Gagliardi Cozman; Anna Helena Reali Costa (SARA, 2011)

Bilayer Segmentation Augmented with Future Evidence. - Silvio Ricardo Rodrigues Sanches; Valdinei Freire da Silva; Romero Tori (ICCSA (2), 2012)

Finding Memoryless Probabilistic Relational Policies for Inter-task Reuse. - Valdinei Freire da Silva; Fernando A. Pereira; Anna Helena Reali Costa (IPMU (2), 2012)

Forward and Backward Feature Selection in Gradient-Based MDP Algorithms. - Karina Olga Maizman Bogdan; Valdinei Freire da Silva (MICAI (1), 2012)

Shortest Stochastic Path with Risk Sensitive Evaluation. - Renato Minami; Valdinei Freire da Silva (MICAI (1), 2012)

Subjective Video Quality Assessment in Segmentation for Augmented Reality Applications. - Silvio Ricardo Rodrigues Sanches; Daniel Makoto Tokunaga; Valdinei F. Silva; Romero Tori (SVR, 2012)

Mutual occlusion between real and virtual elements in Augmented Reality based on fiducial markers. - Silvio Ricardo Rodrigues Sanches; Daniel Makoto Tokunaga; Valdinei F. Silva; Antonio Carlos Sementille; Romero Tori (WACV, 2012)

Speeding-up reinforcement learning through abstraction and transfer learning. - Marcelo Li Koga; Valdinei Freire da Silva; Fábio Gagliardi Cozman; Anna Helena Reali Costa (AAMAS, 2013)

Ad Network Optimization: Evaluating Linear Relaxations. - Flavio Sales Truzzi; Valdinei Freire da Silva; Anna Helena Reali Costa; Fábio Gagliardi Cozman (BRACIS, 2013)

Objective assessment of video segmentation quality for augmented reality. - Silvio Ricardo Rodrigues Sanches; Valdinei F. Silva; Luiz Ricardo Nakamura; Romero Tori (ICME, 2013)

Reusing Risk-Aware Stochastic Abstract Policies in Robotic Navigation Learning. - Valdinei Freire da Silva; Marcelo Li Koga; Fábio Gagliardi Cozman; Anna Helena Reali Costa (RoboCup, 2013)

Comparative Analysis of Abstract Policies to Transfer Learning in Robotics Navigation. - Valdinei Freire da Silva; Anna Helena Reali Costa (AAAI Workshop: Knowledge, Skill, and Behavior Transfer in Autonomous Robots, 2015)

Aprendizado de Máquina em Sistemas de Recomendação Baseados em Conteúdo Textual: Uma Revisão Sistemática [Machine Learning in Textual Content-Based Recommendation Systems: A Systematic Review]. - Lucas Fernandes Brunialti; Sarajane Marques Peres; Valdinei Freire; Clodoaldo Ap. M. Lima (SBSI, 2015)

Segmentation Quality for Augmented Reality: An Objective Metric. - Danilo Vitori Salioni; Silvio Ricardo Rodrigues Sanches; Valdinei F. Silva; Tiago De Gaspari; Antonio Carlos Sementille (SVR, 2015)

Evaluation of linear relaxations in Ad Network optimization for online marketing. - Valdinei Freire da Silva; Flavio Sales Truzzi; Anna Helena Reali Costa; Fábio Gagliardi Cozman (J. Braz. Comput. Soc., 2015)

Stochastic Abstract Policies: Generalizing Knowledge to Improve Reinforcement Learning. - Marcelo Li Koga; Valdinei Freire da Silva; Anna Helena Reali Costa (IEEE Trans. Cybern., 2015)

The Role of Discount Factor in Risk Sensitive Markov Decision Processes. - Valdinei Freire (BRACIS, 2016)

Extreme Risk Averse Policy for Goal-Directed Risk-Sensitive Markov Decision Process. - Valdinei Freire; Karina Valdivia Delgado (BRACIS, 2016)

Introducing a Language for Human Stance Description. - António C. Mabiala; Antonio W. Sousa; Norton Trevisan Roman; João Luiz Bernardes Jr.; Marcelo M. Antunes; Enrique M. Ortega; Luciano A. Digiampietri; Luís M. del Val Cura; Valdinei F. da Silva; Clodoaldo Ap. M. Lima (HCI (15), 2016)

Automatic Facial Recognition: A Systematic Review on the Problem of Light Variation. - Kelvin S. Prado; Norton Trevisan Roman; Valdinei F. Silva; João Luiz Bernardes Jr.; Luciano A. Digiampietri; Enrique M. Ortega; Clodoaldo Ap. M. Lima; Luís M. del Val Cura; Marcelo M. Antunes (HCI (2), 2016)

Analysis of Choreographed Human Movements Using Depth Cameras: A Systematic Review. - Danilo Ribeiro; João Luiz Bernardes; Norton Trevisan Roman; Marcelo M. Antunes; Enrique M. Ortega; Antonio W. Sousa; Luciano A. Digiampietri; Luís M. del Val Cura; Valdinei F. Silva; Clodoaldo Ap. M. Lima (HCI (2), 2016)

GUBS: a Utility-Based Semantic for Goal-Directed Markov Decision Processes. - Valdinei Freire; Karina Valdivia Delgado (AAMAS, 2017)

The BinOvNMTF Algorithm: Overlapping Columns Co-clustering Based on Non-negative Matrix Tri-factorization. - Lucas Fernandes Brunialti; Sarajane Marques Peres; Valdinei Freire da Silva; Clodoaldo Aparecido de Moraes Lima (BRACIS, 2017)

Learning-Process Evaluation to Select Spatial Abstractions in Reinforcement Learning. - Cleiton Alves da Silva; Valdinei Freire (BRACIS, 2017)

Sistema para Resolver o Problema de Roteamento e Inventário com Demanda Estocástica: Comparando Diferentes Heurísticas na Relaxação Lagrangeana. - Pedro Yuri A. L. Alves; Karina Valdivia Delgado; Alexandre da Silva Freire; Valdinei F. Silva (SBSI, 2017)

Processos de decisão de Markov com sensibilidade a risco com função de utilidade exponencial: Uma revisão sistemática da literatura. - Elthon Manhas de Freitas; Karina Valdivia Delgado; Valdinei F. Silva (SBSI, 2017)

System to Solve the Inventory Routing Problem with Stochastic Demand and Time Window. - Pedro Yuri A. L. Alves; Karina Valdivia Delgado; Alexandre da Silva Freire; Valdinei Freire da Silva (SBSI, 2018)

Inventory Routing Problem with Time Windows: A systematic review of the literature. - Pedro Yuri A. L. Alves; Karina Valdivia Delgado; Valdinei Freire da Silva (SBSI, 2018)

An Exact Algorithm to Make a Trade-Off between Cost and Probability in SSPs. - Valdinei Freire; Karina Valdivia Delgado; Willy Arthur Silva Reis (ICAPS, 2019)

Challenging situations for background subtraction algorithms. - Silvio Ricardo Rodrigues Sanches; Claiton de Oliveira; Antonio Carlos Sementille; Valdinei Freire (Appl. Intell., 2019)

PAD: a perceptual application-dependent metric for quality assessment of segmentation algorithms. - Silvio Ricardo Rodrigues Sanches; Antonio Carlos Sementille; Romero Tori; Luiz Ricardo Nakamura; Valdinei Freire (Multim. Tools Appl., 2019)

Finding Feasible Policies for Extreme Risk-Averse Agents in Probabilistic Planning. - Milton Condori Fernandez; Leliane N. de Barros; Denis Deratani Mauá; Karina Valdivia Delgado; Valdinei Freire (BRACIS (2), 2020)

Risk Sensitive Stochastic Shortest Path and LogSumExp: From Theory to Practice. - Elthon Manhas de Freitas; Valdinei Freire; Karina Valdivia Delgado (BRACIS (2), 2020)

OvNMTF Algorithm: an Overlapping Non-Negative Matrix Tri-Factorization for Coclustering. - Waldyr Lourenco de Freitas; Sarajane M. Peres; Valdinei Freire; Lucas Fernandes Brunialti (IJCNN, 2020)

Risk Sensitive Markov Decision Process for Portfolio Management. - Eduardo Lopes Pereira Neto; Valdinei Freire; Karina Valdivia Delgado (MICAI (1), 2020)

Risk-Sensitive Piecewise-Linear Policy Iteration for Stochastic Shortest Path Markov Decision Processes. - Henrique Dias Pastor; Igor Oliveira Borges; Valdinei Freire; Karina Valdivia Delgado; Leliane Nunes de Barros (MICAI (1), 2020)

ALICAT: a customized approach to item selection process in computerized adaptive testing. - Victor M. G. Jatobá; Jorge S. Farias; Valdinei Freire; André Siqueira Ruela; Karina Valdivia Delgado (J. Braz. Comput. Soc., 2020)

Pirá: A Bilingual Portuguese-English Dataset for Question-Answering about the Ocean. - André F. A. Paschoal; Paulo Pirozelli; Valdinei Freire; Karina Valdivia Delgado; Sarajane M. Peres; Marcos M. José; Flávio Nakasato Cação; André Seidel Oliveira; Anarosa A. F. Brandão; Anna H. R. Costa; Fábio Gagliardi Cozman (CIKM, 2021)

Comprehensive Empirical Analysis of Stop Criteria in Computerized Adaptive Testing. - Patricia Gilavert; Valdinei Freire (CSEDU (1), 2021)

Probability-to-Goal and Expected Cost Trade-Off in Stochastic Shortest Path. - Isabella Kuo; Valdinei Freire (ICCSA (3), 2021)

Recommendations for evaluating the performance of background subtraction algorithms for surveillance systems. - Silvio Ricardo Rodrigues Sanches; Antonio Carlos Sementille; Ivan Abdo Aguilar; Valdinei Freire (Multim. Tools Appl., 2021)

Resource Allocation Optimization in Business Processes Supported by Reinforcement Learning and Process Mining. - Thais Rodrigues Neubauer; Valdinei Freire da Silva; Marcelo Fantinato; Sarajane Marques Peres (BRACIS (1), 2022)

Computerized Adaptive Testing: A Unified Approach Under Markov Decision Process. - Patricia Gilavert; Valdinei Freire (ICCSA (1), 2022)

Forward-PECVaR Algorithm: Exact Evaluation for CVaR SSPs. - Willy Arthur Silva Reis; Denis Benevolo Pais; Valdinei Freire; Karina Valdivia Delgado (AAMAS, 2023)

α-MCMP: Trade-Offs Between Probability and Cost in SSPs with the MCMP Criterion. - Gabriel Nunes Crispino; Valdinei Freire; Karina Valdivia Delgado (BRACIS (1), 2023)

Allocating Dynamic and Finite Resources to a Set of Known Tasks. - João da Silva; Sarajane Marques Peres; Daniel Cordeiro; Valdinei Freire (BRACIS (1), 2023)

GUBS criterion: Arbitrary trade-offs between cost and probability-to-goal in stochastic planning based on Expected Utility Theory. - Gabriel Nunes Crispino; Valdinei Freire; Karina Valdivia Delgado (Artif. Intell., 2023)

Likelihood Estimator for Multi Model-Based Reinforcement Learning. - Guilherme Albarrans; Valdinei Freire (BRACIS (2), 2024)

Reinforcement Learning with Utility-Based Semantic for Goals. - Christian Delgado Polar; Karina Valdivia Delgado; Valdinei Freire (BRACIS (2), 2024)

A Unified Framework for Average Reward Criterion and Risk. - Willy Arthur Silva Reis; Karina Valdivia Delgado; Valdinei Freire (BRACIS (1), 2024)

Monte Carlo Tree Search Algorithm for SSPs Under the GUBS Criterion. - Gabriel Nunes Crispino; Valdinei Freire; Karina Valdivia Delgado (CLEI Electron. J., 2024)

Automatic generation of difficulty maps for datasets using neural network. - Silvio Ricardo Rodrigues Sanches; Elton Custódio Junior; Cléber Gimenez Corrêa; Claiton de Oliveira; Valdinei Freire; Priscila Tiemi Maeda Saito; Pedro Henrique Bugatti (Multim. Tools Appl., 2024)