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» Guiding Agent Learning in Design
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ICIDS
2010
Springer
13 years 5 months ago
Emohawk: Learning Virtual Characters by Doing
Emohawk is a narrative-based serious game designed to be a supportive tool for teaching basics of virtual agents development at universities and high-schools. Emohawk is built util...
Michal Bída, Cyril Brom
IJCAI
2001
13 years 9 months ago
Modularity and Design in Reactive Intelligence
Software design is the hardest part of creating intelligent agents. Therefore agent architectures should be optimized as design tools. This paper presents an architectural synthes...
Joanna Bryson, Lynn Andrea Stein
AAAI
2012
11 years 10 months ago
Design and Optimization of an Omnidirectional Humanoid Walk: A Winning Approach at the RoboCup 2011 3D Simulation Competition
This paper presents the design and learning architecture for an omnidirectional walk used by a humanoid robot soccer agent acting in the RoboCup 3D simulation environment. The wal...
Patrick MacAlpine, Samuel Barrett, Daniel Urieli, ...
ICML
2003
IEEE
14 years 8 months ago
Q-Decomposition for Reinforcement Learning Agents
The paper explores a very simple agent design method called Q-decomposition, wherein a complex agent is built from simpler subagents. Each subagent has its own reward function and...
Stuart J. Russell, Andrew Zimdars
AGENTCL
2003
Springer
14 years 1 months ago
Proactive Communications in Agent Teamwork
Abstract. The capabilities for agents in a team to anticipate informationneeds of teammates and proactively offer relevant information are highly desirable. However, such behavior...
John Yen, Xiaocong Fan, Richard A. Volz