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» Representing the Knowledge of a Robot
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ICTAI
2000
IEEE
15 years 9 months ago
Building efficient partial plans using Markov decision processes
Markov Decision Processes (MDP) have been widely used as a framework for planning under uncertainty. They allow to compute optimal sequences of actions in order to achieve a given...
Pierre Laroche
AAAI
2008
15 years 8 months ago
On-line Planning and Scheduling: An Application to Controlling Modular Printers
This paper summarizes recent work reported at ICAPS on applying artificial intelligence techniques to the control of production printing equipment. Like many other real-world appl...
Minh Binh Do, Wheeler Ruml, Rong Zhou
AAAI
2006
15 years 7 months ago
Real-Time Evolution of Neural Networks in the NERO Video Game
A major goal for AI is to allow users to interact with agents that learn in real time, making new kinds of interactive simulations, training applications, and digital entertainmen...
Kenneth O. Stanley, Bobby D. Bryant, Igor Karpov, ...
TALG
2011
98views more  TALG 2011»
15 years 1 months ago
Tree exploration with logarithmic memory
We consider the task of network exploration by a mobile agent (robot) with small memory. The agent has to traverse all nodes and edges of a network (represented as an undirected c...
Christoph Ambühl, Leszek Gasieniec, Andrzej P...
ATAL
2010
Springer
15 years 7 months ago
Linear options
Learning, planning, and representing knowledge in large state t multiple levels of temporal abstraction are key, long-standing challenges for building flexible autonomous agents. ...
Jonathan Sorg, Satinder P. Singh