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» Constructing Game Agents from Video of Human Behavior
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AIIDE
2009
13 years 6 months ago
Constructing Game Agents from Video of Human Behavior
Developing computer game agents is often a lengthy and expensive undertaking. Detailed domain knowledge and decision-making procedures must be encoded into the agent to achieve re...
Nan Li, David J. Stracuzzi, Gary Cleveland, Tolga ...
PAMI
2007
186views more  PAMI 2007»
13 years 4 months ago
Value-Directed Human Behavior Analysis from Video Using Partially Observable Markov Decision Processes
—This paper presents a method for learning decision theoretic models of human behaviors from video data. Our system learns relationships between the movements of a person, the co...
Jesse Hoey, James J. Little
AAAI
2010
13 years 5 months ago
Beyond Equilibrium: Predicting Human Behavior in Normal-Form Games
It is standard in multiagent settings to assume that agents will adopt Nash equilibrium strategies. However, studies in experimental economics demonstrate that Nash equilibrium is...
James R. Wright, Kevin Leyton-Brown
TSMC
2008
117views more  TSMC 2008»
13 years 3 months ago
Discovery of High-Level Behavior From Observation of Human Performance in a Strategic Game
This paper explores the issues faced in creating a sys-4 tem that can learn tactical human behavior merely by observing5 a human perform the behavior in a simulation. More specific...
Brian S. Stensrud, Avelino J. Gonzalez
AIIDE
2006
13 years 6 months ago
Incorporating Advice into Neuroevolution of Adaptive Agents
Neuroevolution is a promising learning method in tasks with extremely large state and action spaces and hidden states. Recent advances allow neuroevolution to take place in real t...
Chern Han Yong, Kenneth O. Stanley, Risto Miikkula...