Anderson R. Tavares

Orcid: 0000-0002-8530-6468

According to our database1, Anderson R. Tavares authored at least 32 papers between 2012 and 2025.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Enhancing deep reinforcement learning for scale flexibility in real-time strategy games.
Entertain. Comput., 2025

2024
A Taxonomy of Collectible Card Games from a Game-Playing AI Perspective.
CoRR, 2024

PReLU: Yet Another Single-Layer Solution to the XOR Problem.
CoRR, 2024

2023
Towards sample efficient deep reinforcement learning in collectible card games.
Entertain. Comput., August, 2023

Multi-Objective, Multi-Armed Bandits: Algorithms for Repeated Games and Application to Route Choice.
RITA, 2023

On the Evolution of AI and Machine Learning: Towards a Meta-level Measuring and understanding Impact, Influence and Leadership at Premier AI Conferences.
FLAP, 2023

Exploring reinforcement learning approaches for drafting in collectible card games.
Entertain. Comput., 2023

"A Nova Eletricidade: Aplicações, Riscos e Tendências da IA Moderna - "The New Electricity": Applications, Risks, and Trends in Current AI.
CoRR, 2023

Hybrid Minimax-MCTS and Difficulty Adjustment for General Game Playing.
Proceedings of the 22nd Brazilian Symposium on Games and Digital Entertainment, 2023

Evolutionary Tabletop Game Design: A Case Study in the Risk Game.
Proceedings of the 22nd Brazilian Symposium on Games and Digital Entertainment, 2023

Scale-Invariant Reinforcement Learning in Real-Time Strategy Games.
Proceedings of the 22nd Brazilian Symposium on Games and Digital Entertainment, 2023

A Monte Carlo Algorithm for Time-Constrained General Game Playing.
Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023

"A Nova Eletricidade": Aplicações, Riscos e Tendências da IA Moderna.
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.
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.
CoRR, 2022

Exploring Deep Reinforcement Learning for Battling in Collectible Card Games.
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.
Proceedings of the 13th International Conference on Ambient Systems, 2022

2021
Measuring Ethics in AI with AI: A Methodology and Dataset Construction.
CoRR, 2021

Discrete and Continuous Deep Residual Learning over Graphs.
Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

2020
Understanding Boolean Function Learnability on Deep Neural Networks.
CoRR, 2020

Superpixel Image Classification with Graph Attention Networks.
Proceedings of the 33rd SIBGRAPI Conference on Graphics, Patterns and Images, 2020

Drafting in Collectible Card Games via Reinforcement Learning.
Proceedings of the 19th Brazilian Symposium on Computer Games and Digital Entertainment, 2020

Toll-Based Learning for Minimising Congestion under Heterogeneous Preferences.
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.
IEEE Trans. Games, 2019

2018
Algorithms or Actions? A Study in Large-Scale Reinforcement Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Tabular Reinforcement Learning in Real-Time Strategy Games via Options.
Proceedings of the 2018 IEEE Conference on Computational Intelligence and Games, 2018

2017
Strategic Reasoning in Digital Zero-Sum Games.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

Algorithm Selection in Zero-Sum Computer Games.
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.
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.
J. Braz. Comput. Soc., 2014

Evolving Swarm Intelligence for Task Allocation in a Real Time Strategy Game.
Proceedings of the 2014 Brazilian Symposium on Computer Games and Digital Entertainment, 2014

2012
Independent learners in abstract traffic scenarios.
RITA, 2012


  Loading...