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Ronaldo E Silva Vieira
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2020 – today
- 2025
- [j3]Marcelo Luiz Harry Diniz Lemos
, Ronaldo E Silva Vieira
Enhancing deep reinforcement learning for scale flexibility in real-time strategy games. Entertain. Comput. 52: 100843 (2025) - 2024
- [c5]Ronaldo E Silva Vieira, Anderson Rocha Tavares, Luiz Chaimowicz:
A Taxonomy of Collectible Card Games from a Game-Playing AI Perspective. ICEC 2024: 163-177 - [i1]Ronaldo E Silva Vieira, Anderson Rocha Tavares, Luiz Chaimowicz:
A Taxonomy of Collectible Card Games from a Game-Playing AI Perspective. CoRR abs/2410.06299 (2024) - 2023
- [j2]Ronaldo E Silva Vieira
Exploring reinforcement learning approaches for drafting in collectible card games. Entertain. Comput. 44: 100526 (2023) - [j1]Ronaldo E Silva Vieira
Towards sample efficient deep reinforcement learning in collectible card games. Entertain. Comput. 47: 100594 (2023) - [c4]Marcelo Luiz Harry Diniz Lemos
Scale-Invariant Reinforcement Learning in Real-Time Strategy Games. SBGames 2023: 11-19 - 2022
- [c3]Ronaldo E Silva Vieira, Anderson Rocha Tavares, Luiz Chaimowicz:
Exploring Deep Reinforcement Learning for Battling in Collectible Card Games. SBGAMES 2022: 1-6 - 2020
- [c2]Ronaldo E Silva Vieira
Drafting in Collectible Card Games via Reinforcement Learning. SBGames 2020: 54-61
2010 – 2019
- 2018
- [c1]Ronaldo E Silva Vieira
A Cognitive Architecture for Agent-Based Artificial Life Simulation. ICCSA (1) 2018: 197-213
Coauthor Index
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