Anderson R. Tavares

According to our database, Anderson R. Tavares authored at least 28 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Towards sample efficient deep reinforcement learning in collectible card games.

Ronaldo E Silva Vieira, Anderson Rocha Tavares, Luiz Chaimowicz

Entertain. Comput., August, 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, Pedro H. C. Avelar, Anderson R. Tavares, Luís C. Lamb

FLAP, 2023

Exploring reinforcement learning approaches for drafting in collectible card games.

Ronaldo E Silva Vieira, Anderson Rocha Tavares, Luiz Chaimowicz

Entertain. Comput., 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

Hybrid Minimax-MCTS and Difficulty Adjustment for General Game Playing.

Marco Antônio Athayde de Aguiar Vieira, Anderson Rocha Tavares, Renato Perez Ribas

Proceedings of the 22nd Brazilian Symposium on Games and Digital Entertainment, 2023

Evolutionary Tabletop Game Design: A Case Study in the Risk Game.

Lana Bertoldo Rossato, Leonardo Boaventura Bombardelli, Anderson Rocha Tavares

Proceedings of the 22nd Brazilian Symposium on Games and Digital Entertainment, 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

Proceedings of the 22nd Brazilian Symposium on Games and Digital Entertainment, 2023

A Monte Carlo Algorithm for Time-Constrained General Game Playing.

Victor Putrich Scherer, Anderson Rocha Tavares, Felipe Meneguzzi

Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023

"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

Proceedings of the Escola de Computação PPGC/UFRGS 50 Anos: Transformando Desafios em Oportunidades Para o Futuro, 2023

2022

EPGAT: Gene Essentiality Prediction With Graph Attention Networks.

João Schapke, Anderson R. Tavares, Mariana Recamonde Mendoza

IEEE ACM Trans. Comput. Biol. Bioinform., 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

Exploring Deep Reinforcement Learning for Battling in Collectible Card Games.

Ronaldo E Silva Vieira, Anderson Rocha Tavares, Luiz Chaimowicz

Proceedings of the 21st Brazilian Symposium on Computer Games and Digital Entertainment, 2022

Information upwards, recommendation downwards: reinforcement learning with hierarchy for traffic signal control.

Taylor de O. Antes, Ana L. C. Bazzan, Anderson Rocha Tavares

Proceedings of the 13th International Conference on Ambient Systems, 2022

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

Discrete and Continuous Deep Residual Learning over Graphs.

Pedro H. C. Avelar, Anderson R. Tavares, Marco Gori, Luís C. Lamb

Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

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

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

Proceedings of the 33rd SIBGRAPI Conference on Graphics, Patterns and Images, 2020

Drafting in Collectible Card Games via Reinforcement Learning.

Ronaldo E Silva Vieira, Anderson Rocha Tavares, Luiz Chaimowicz

Proceedings of the 19th Brazilian Symposium on Computer Games and Digital Entertainment, 2020

Toll-Based Learning for Minimising Congestion under Heterogeneous Preferences.

Gabriel de Oliveira Ramos, Roxana Radulescu, Ann Nowé, Anderson R. Tavares

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

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

2018

Algorithms or Actions? A Study in Large-Scale Reinforcement Learning.

Anderson Rocha Tavares, Sivasubramanian Anbalagan, Leandro Soriano Marcolino, Luiz Chaimowicz

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Tabular Reinforcement Learning in Real-Time Strategy Games via Options.

Anderson R. Tavares, Luiz Chaimowicz

Proceedings of the 2018 IEEE Conference on Computational Intelligence and Games, 2018

2017

Strategic Reasoning in Digital Zero-Sum Games.

Anderson Rocha Tavares

Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

Algorithm Selection in Zero-Sum Computer Games.

Anderson Rocha Tavares

Proceedings of the Thirteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE-17), 2017

2016

Rock, Paper, StarCraft: Strategy Selection in Real-Time Strategy Games.

Anderson R. Tavares, Héctor Azpúrua, Amanda Santos, Luiz Chaimowicz

Proceedings of the Twelfth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2016

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

Evolving Swarm Intelligence for Task Allocation in a Real Time Strategy Game.

Anderson R. Tavares, Héctor Azpúrua, Luiz Chaimowicz

Proceedings of the 2014 Brazilian Symposium on Computer Games and Digital Entertainment, 2014

2012

Independent learners in abstract traffic scenarios.

Anderson R. Tavares, Ana Lúcia C. Bazzan

RITA, 2012