Independent learners in abstract traffic scenarios. - Anderson R. Tavares; Ana Lúcia C. Bazzan (RITA, 2012)

Evolving Swarm Intelligence for Task Allocation in a Real Time Strategy Game. - Anderson R. Tavares; Héctor Azpúrua; Luiz Chaimowicz (SBGames, 2014)

An agent-based approach for road pricing: system-level performance and implications for drivers. - Anderson Rocha Tavares; Ana L. C. Bazzan (J. Braz. Comput. Soc., 2014)

Rock, Paper, StarCraft: Strategy Selection in Real-Time Strategy Games. - Anderson R. Tavares; Héctor Azpúrua; Amanda Santos; Luiz Chaimowicz (AIIDE, 2016)

Algorithm Selection in Zero-Sum Computer Games. - Anderson Rocha Tavares (AIIDE, 2017)

Strategic Reasoning in Digital Zero-Sum Games. - Anderson Rocha Tavares (AAMAS, 2017)

Tabular Reinforcement Learning in Real-Time Strategy Games via Options. - Anderson R. Tavares; Luiz Chaimowicz (CIG, 2018)

Algorithms or Actions? A Study in Large-Scale Reinforcement Learning. - Anderson Rocha Tavares; Sivasubramanian Anbalagan; Leandro Soriano Marcolino; Luiz Chaimowicz (IJCAI, 2018)

Algorithm Selection in Adversarial Settings: From Experiments to Tournaments in StarCraft. - Anderson Rocha Tavares; Daniel Kneipp S. Vieira; Tiago Negrisoli; Luiz Chaimowicz (IEEE Trans. Games, 2019)

Toll-Based Learning for Minimising Congestion under Heterogeneous Preferences. - Gabriel de Oliveira Ramos; Roxana Radulescu; Ann Nowé; Anderson R. Tavares (AAMAS, 2020)

Drafting in Collectible Card Games via Reinforcement Learning. - Ronaldo E Silva Vieira; Anderson Rocha Tavares; Luiz Chaimowicz (SBGames, 2020)

Superpixel Image Classification with Graph Attention Networks. - Pedro H. C. Avelar; Anderson R. Tavares; Thiago L. T. da Silveira; Cláudio R. Jung; Luís C. Lamb (SIBGRAPI, 2020)

Understanding Boolean Function Learnability on Deep Neural Networks. - Anderson R. Tavares; Pedro H. C. Avelar; João M. Flach; Márcio Nicolau; Luís C. Lamb; Moshe Y. Vardi (CoRR, 2020)

Discrete and Continuous Deep Residual Learning over Graphs. - Pedro H. C. Avelar; Anderson R. Tavares; Marco Gori; Luís C. Lamb (ICAART (2), 2021)

Measuring Ethics in AI with AI: A Methodology and Dataset Construction. - Pedro H. C. Avelar; Rafael Baldasso Audibert; Anderson R. Tavares; Luís C. Lamb (CoRR, 2021)

Information upwards, recommendation downwards: reinforcement learning with hierarchy for traffic signal control. - Taylor de O. Antes; Ana L. C. Bazzan; Anderson Rocha Tavares (ANT/EDI40, 2022)

Exploring Deep Reinforcement Learning for Battling in Collectible Card Games. - Ronaldo E Silva Vieira; Anderson Rocha Tavares; Luiz Chaimowicz (SBGAMES, 2022)

On the Evolution of A.I. and Machine Learning: Towards Measuring and Understanding Impact, Influence, and Leadership at Premier A.I. Conferences. - Rafael Baldasso Audibert; Henrique Lemos dos Santos; Pedro H. C. Avelar; Anderson R. Tavares; Luís C. Lamb (CoRR, 2022)

EPGAT: Gene Essentiality Prediction With Graph Attention Networks. - João Schapke; Anderson R. Tavares; Mariana Recamonde Mendoza (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

"A Nova Eletricidade": Aplicações, Riscos e Tendências da IA Moderna. - Ana L. C. Bazzan; Anderson R. Tavares; André G. Pereira; Cláudio R. Jung; Jacob Scharcanski; Joel Luís Carbonera; Luís C. Lamb; Mariana Recamonde Mendoza; Thiago L. T. da Silveira; Viviane P. Moreira (Escola de Computação PPGC/UFRGS 50 Anos, 2023)

A Monte Carlo Algorithm for Time-Constrained General Game Playing. - Victor Putrich Scherer; Anderson Rocha Tavares; Felipe Meneguzzi (BRACIS (1), 2023)

Scale-Invariant Reinforcement Learning in Real-Time Strategy Games. - Marcelo Luiz Harry Diniz Lemos; Ronaldo E Silva Vieira; Anderson Rocha Tavares; Leandro Soriano Marcolino; Luiz Chaimowicz (SBGames, 2023)

Evolutionary Tabletop Game Design: A Case Study in the Risk Game. - Lana Bertoldo Rossato; Leonardo Boaventura Bombardelli; Anderson Rocha Tavares (SBGames, 2023)

Hybrid Minimax-MCTS and Difficulty Adjustment for General Game Playing. - Marco Antônio Athayde de Aguiar Vieira; Anderson Rocha Tavares; Renato Perez Ribas (SBGames, 2023)

"A Nova Eletricidade: Aplicações, Riscos e Tendências da IA Moderna - "The New Electricity": Applications, Risks, and Trends in Current AI. - Ana L. C. Bazzan; Anderson R. Tavares; André G. Pereira; Cláudio R. Jung; Jacob Scharcanski; Joel Luis Carbonera; Luís C. Lamb; Mariana Recamonde Mendoza; Thiago L. T. da Silveira; Viviane P. Moreira (CoRR, 2023)

Exploring reinforcement learning approaches for drafting in collectible card games. - Ronaldo E Silva Vieira; Anderson Rocha Tavares; Luiz Chaimowicz (Entertain. Comput., 2023)

On the Evolution of AI and Machine Learning: Towards a Meta-level Measuring and understanding Impact, Influence and Leadership at Premier AI Conferences. - Rafael Baldasso Audibert; Henrique Lemos 001; Pedro H. C. Avelar; Anderson R. Tavares; Luís C. Lamb (FLAP, 2023)

Multi-Objective, Multi-Armed Bandits: Algorithms for Repeated Games and Application to Route Choice. - Candy A. Huanca-Anquise; Ana Lúcia Cetertich Bazzan; Anderson R. Tavares (RITA, 2023)

Towards sample efficient deep reinforcement learning in collectible card games. - Ronaldo E Silva Vieira; Anderson Rocha Tavares; Luiz Chaimowicz (Entertain. Comput., 2023)

An Ensemble of LLMs Finetuned with LoRA for NER in Portuguese Legal Documents. - Rafael Oleques Nunes; Letícia Maria Puttlitz; Antônio Oss Boll; Andre Suslik Spritzer; Carla Maria Dal Sasso Freitas; Dennis Giovani Balreira; Anderson Rocha Tavares (BRACIS (1), 2024)

A Taxonomy of Collectible Card Games from a Game-Playing AI Perspective. - Ronaldo E Silva Vieira; Anderson Rocha Tavares; Luiz Chaimowicz (ICEC, 2024)

PReLU: Yet Another Single-Layer Solution to the XOR Problem. - Rafael C. Pinto; Anderson R. Tavares (CoRR, 2024)

Python Agent in Ludii. - Izaias S. de Lima Neto; Marco Antônio Athayde de Aguiar Vieira; Anderson R. Tavares (CoRR, 2024)

Leveraging Natural Language Processing for Mhealth Development: A Component-Based Approach Using Nursing Taxonomies. - William Niemiec; Anderson Rocha Tavares; Érika Fernandes Cota (CBMS, 2025)

Enhancing deep reinforcement learning for scale flexibility in real-time strategy games. - Marcelo Luiz Harry Diniz Lemos; Ronaldo E Silva Vieira; Anderson Rocha Tavares; Leandro Soriano Marcolino; Luiz Chaimowicz (Entertain. Comput., 2025)

Neuroevolution of Self-Attention Over Proto-Objects. - Rafael C. Pinto; Anderson R. Tavares (CoRR, 2025)