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AAAI
1998
13 years 9 months ago
Tree Based Discretization for Continuous State Space Reinforcement Learning
Reinforcement learning is an effective technique for learning action policies in discrete stochastic environments, but its efficiency can decay exponentially with the size of the ...
William T. B. Uther, Manuela M. Veloso
WSC
1997
13 years 9 months ago
Simulation of Multiple Time-Pressured Agents
The paper describes a simulation substrate that allows thinking agents to interact with a world. The world is simulated by standard discrete event simulation, but the timing of an...
Scott D. Anderson
UAI
1994
13 years 9 months ago
A Decision-based View of Causality
Most traditional models of uncertainty have focused on the associational relationship among variables as captured by conditional dependence. In order to successfully manage intell...
David Heckerman, Ross D. Shachter
CEC
2010
IEEE
13 years 9 months ago
A hormone-based controller for evolutionary multi-modular robotics: From single modules to gait learning
For any embodied, mobile, autonomous agent it is essential to control its actuators appropriately for the faced task. This holds for natural organisms as well as for robots. If sev...
Heiko Hamann, Jürgen Stradner, Thomas Schmick...
CCIA
2009
Springer
13 years 9 months ago
Anytime Reasoning Mechanism for Conversational Agents
When an agent receives a query from another agent, it tries to satisfy it by building an answer based on its current knowledge. Depending on the available time or the urgency of t...
M. Mariela Morveli-Espinoza, Josep Puyol-Gruart