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ORCIDAnderson R. Tavares
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2020 – today
- 2025
[j9]Marcelo Luiz Harry Diniz Lemos
, Ronaldo E Silva Vieira, Anderson Rocha Tavares, Leandro Soriano Marcolino, Luiz Chaimowicz:
Enhancing deep reinforcement learning for scale flexibility in real-time strategy games. Entertain. Comput. 52: 100843 (2025)- 2024
- [i10]Rafael C. Pinto, Anderson R. Tavares:
PReLU: Yet Another Single-Layer Solution to the XOR Problem. CoRR abs/2409.10821 (2024) - 2023
- [j8]Ronaldo E Silva Vieira, Anderson Rocha Tavares, Luiz Chaimowicz:
Exploring reinforcement learning approaches for drafting in collectible card games. Entertain. Comput. 44: 100526 (2023) - [j7]Ronaldo E Silva Vieira, Anderson Rocha Tavares, Luiz Chaimowicz:
Towards sample efficient deep reinforcement learning in collectible card games. Entertain. Comput. 47: 100594 (2023) - [j6]Rafael Baldasso Audibert, Henrique Lemos, Pedro H. C. Avelar, Anderson R. Tavares, Luís C. Lamb:
On the Evolution of AI and Machine Learning: Towards a Meta-level Measuring and understanding Impact, Influence and Leadership at Premier AI Conferences. FLAP 10(5): 693-817 (2023) - [j5]Candy A. Huanca-Anquise, Ana Lúcia Cetertich Bazzan, Anderson R. Tavares:
Multi-Objective, Multi-Armed Bandits: Algorithms for Repeated Games and Application to Route Choice. RITA 30(1): 11-23 (2023) - [c16]Victor Putrich Scherer, Anderson Rocha Tavares, Felipe Meneguzzi:
A Monte Carlo Algorithm for Time-Constrained General Game Playing. BRACIS (1) 2023: 97-111 - [c15]Marcelo Luiz Harry Diniz Lemos, Ronaldo E Silva Vieira, Anderson Rocha Tavares, Leandro Soriano Marcolino, Luiz Chaimowicz:
Scale-Invariant Reinforcement Learning in Real-Time Strategy Games. SBGames 2023: 11-19 - [c14]Marco Antônio Athayde de Aguiar Vieira, Anderson Rocha Tavares, Renato Perez Ribas:
Hybrid Minimax-MCTS and Difficulty Adjustment for General Game Playing. SBGames 2023: 20-27 - [c13]Lana Bertoldo Rossato, Leonardo Boaventura Bombardelli, Anderson Rocha Tavares:
Evolutionary Tabletop Game Design: A Case Study in the Risk Game. SBGames 2023: 161-170 - [p1]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:
"A Nova Eletricidade": Aplicações, Riscos e Tendências da IA Moderna. Escola de Computação PPGC/UFRGS 50 Anos 2023: 167-209 - [i9]Marco Antônio Athayde de Aguiar Vieira, Anderson Rocha Tavares, Renato Perez Ribas:
Hybrid Minimax-MCTS and Difficulty Adjustment for General Game Playing. CoRR abs/2310.16581 (2023) - [i8]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:
"A Nova Eletricidade: Aplicações, Riscos e Tendências da IA Moderna - "The New Electricity": Applications, Risks, and Trends in Current AI. CoRR abs/2310.18324 (2023) - [i7]Lana Bertoldo Rossato, Leonardo Boaventura Bombardelli, Anderson Rocha Tavares:
Evolutionary Tabletop Game Design: A Case Study in the Risk Game. CoRR abs/2310.20008 (2023) - 2022
- [j4]João Schapke, Anderson R. Tavares, Mariana Recamonde Mendoza:
EPGAT: Gene Essentiality Prediction With Graph Attention Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 19(3): 1615-1626 (2022) - [c12]Taylor de O. Antes, Ana L. C. Bazzan, Anderson Rocha Tavares:
Information upwards, recommendation downwards: reinforcement learning with hierarchy for traffic signal control. ANT/EDI40 2022: 24-31 - [c11]Ronaldo E Silva Vieira, Anderson Rocha Tavares, Luiz Chaimowicz:
Exploring Deep Reinforcement Learning for Battling in Collectible Card Games. SBGAMES 2022: 1-6 - [i6]Rafael Baldasso Audibert, Henrique Lemos dos Santos, Pedro H. C. Avelar, Anderson R. Tavares, Luís C. Lamb:
On the Evolution of A.I. and Machine Learning: Towards Measuring and Understanding Impact, Influence, and Leadership at Premier A.I. Conferences. CoRR abs/2205.13131 (2022) - 2021
- [c10]Pedro H. C. Avelar, Anderson R. Tavares, Marco Gori, Luís C. Lamb:
Discrete and Continuous Deep Residual Learning over Graphs. ICAART (2) 2021: 119-131 - [i5]Pedro H. C. Avelar, Rafael Baldasso Audibert, Anderson R. Tavares, Luís C. Lamb:
Measuring Ethics in AI with AI: A Methodology and Dataset Construction. CoRR abs/2107.11913 (2021) - 2020
- [c9]Gabriel de Oliveira Ramos, Roxana Radulescu, Ann Nowé, Anderson R. Tavares:
Toll-Based Learning for Minimising Congestion under Heterogeneous Preferences. AAMAS 2020: 1098-1106 - [c8]Ronaldo E Silva Vieira, Anderson Rocha Tavares, Luiz Chaimowicz:
Drafting in Collectible Card Games via Reinforcement Learning. SBGames 2020: 54-61 - [c7]Pedro H. C. Avelar, Anderson R. Tavares, Thiago L. T. da Silveira, Cláudio R. Jung, Luís C. Lamb:
Superpixel Image Classification with Graph Attention Networks. SIBGRAPI 2020: 203-209 - [i4]Pedro H. C. Avelar, Anderson R. Tavares, Thiago L. T. da Silveira, Cláudio R. Jung, Luís C. Lamb:
Superpixel Image Classification with Graph Attention Networks. CoRR abs/2002.05544 (2020) - [i3]João Schapke, Anderson R. Tavares, Mariana Recamonde Mendoza:
EPGAT: Gene Essentiality Prediction With Graph Attention Networks. CoRR abs/2007.09671 (2020) - [i2]Anderson R. Tavares, Pedro H. C. Avelar, João M. Flach, Márcio Nicolau, Luís C. Lamb, Moshe Y. Vardi:
Understanding Boolean Function Learnability on Deep Neural Networks. CoRR abs/2009.05908 (2020)
2010 – 2019
- 2019
- [j3]Anderson Rocha Tavares, Daniel Kneipp S. Vieira, Tiago Negrisoli, Luiz Chaimowicz:
Algorithm Selection in Adversarial Settings: From Experiments to Tournaments in StarCraft. IEEE Trans. Games 11(3): 238-247 (2019) - [i1]Pedro H. C. Avelar, Anderson R. Tavares, Marco Gori, Luís C. Lamb:
Discrete and Continuous Deep Residual Learning Over Graphs. CoRR abs/1911.09554 (2019) - 2018
- [c6]Anderson R. Tavares, Luiz Chaimowicz:
Tabular Reinforcement Learning in Real-Time Strategy Games via Options. CIG 2018: 1-8 - [c5]Anderson Rocha Tavares, Sivasubramanian Anbalagan, Leandro Soriano Marcolino, Luiz Chaimowicz:
Algorithms or Actions? A Study in Large-Scale Reinforcement Learning. IJCAI 2018: 2717-2723 - 2017
- [c4]Anderson Rocha Tavares:
Algorithm Selection in Zero-Sum Computer Games. AIIDE 2017: 301-303 - [c3]Anderson Rocha Tavares:
Strategic Reasoning in Digital Zero-Sum Games. AAMAS 2017: 1863-1864 - 2016
- [c2]Anderson R. Tavares, Héctor Azpúrua, Amanda Santos, Luiz Chaimowicz:
Rock, Paper, StarCraft: Strategy Selection in Real-Time Strategy Games. AIIDE 2016: 93-99 - 2014
- [j2]Anderson Rocha Tavares, Ana L. C. Bazzan:
An agent-based approach for road pricing: system-level performance and implications for drivers. J. Braz. Comput. Soc. 20(1): 15:1-15:15 (2014) - [c1]Anderson R. Tavares, Héctor Azpúrua, Luiz Chaimowicz:
Evolving Swarm Intelligence for Task Allocation in a Real Time Strategy Game. SBGames 2014: 99-108 - 2012
- [j1]Anderson R. Tavares, Ana Lúcia C. Bazzan:
Independent learners in abstract traffic scenarios. RITA 19(2): 13-33 (2012)
Coauthor Index
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