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Stefan Wender
Stefan Wender
Data Scientist, FINN.no
Verified email at cs.auckland.ac.nz
Title
Cited by
Cited by
Year
Applying reinforcement learning to small scale combat in the real-time strategy game StarCraft: Broodwar
S Wender, I Watson
2012 ieee conference on computational intelligence and games (cig), 402-408, 2012
1602012
Using reinforcement learning for city site selection in the turn-based strategy game Civilization IV
S Wender, I Watson
2008 IEEE symposium on computational intelligence and games, 372-377, 2008
462008
Combining case-based reasoning and reinforcement learning for unit navigation in real-time strategy game AI
S Wender, I Watson
International Conference on Case-Based Reasoning, 511-525, 2014
332014
Integrating case-based reasoning with reinforcement learning for real-time strategy game micromanagement
S Wender, I Watson
Pacific Rim International Conference on Artificial Intelligence, 64-76, 2014
112014
Improving a case-based Texas hold'em poker bot
I Watson, S Lee, J Rubin, S Wender
2008 IEEE Symposium On Computational Intelligence and Games, 350-356, 2008
72008
Combining case-based reasoning and reinforcement learning for tactical unit selection in real-time strategy game AI
S Wender, I Watson
International Conference on Case-Based Reasoning, 413-429, 2016
62016
Building a trace-based system for real-time strategy game traces
S Wender, A Cordier, I Watson
Workshop Proceedings, 117, 2013
52013
Integrating Reinforcement Learning into Strategy Games
S Wender
University of Auckland, 2009
52009
A Multi-Layer Case-Based & Reinforcement Learning Approach to Adaptive Tactical Real-Time Strategy Game AI
S Wender
ResearchSpace@ Auckland, 2015
2015
Libraries and Learning Services
A Multi-Layer, S Wender
Creating Human-Level AI in Strategy Games using Hybrid CBR/RL
S Wender
Luc Lamontagne and Juan A. Recio-Garcıa (Editors), 282, 0
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Articles 1–11