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» Space layout planning using an evolutionary approach
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CI
2005
106views more  CI 2005»
13 years 7 months ago
Incremental Learning of Procedural Planning Knowledge in Challenging Environments
Autonomous agents that learn about their environment can be divided into two broad classes. One class of existing learners, reinforcement learners, typically employ weak learning ...
Douglas J. Pearson, John E. Laird
IFIP
2000
Springer
13 years 11 months ago
Information Systems Conceptual Foundations: Looking Backward and Forward
The academic field of information systems has developed because organizations use a specialized body of knowledge about information and communications systems. Teaching and resear...
Gordon B. Davis
AAAI
1990
13 years 9 months ago
A Hierarchical Planner that Generates Its Own Hierarchies
PABLO' is a nonlinear planner that reasons hially by generating abstract predicates. PABLO's abstract search spaces are generated automatically using predicate relaxatio...
Jens Christensen
AROBOTS
1999
104views more  AROBOTS 1999»
13 years 7 months ago
Reinforcement Learning Soccer Teams with Incomplete World Models
We use reinforcement learning (RL) to compute strategies for multiagent soccer teams. RL may pro t signi cantly from world models (WMs) estimating state transition probabilities an...
Marco Wiering, Rafal Salustowicz, Jürgen Schm...
IROS
2006
IEEE
166views Robotics» more  IROS 2006»
14 years 1 months ago
Anytime RRTs
— We present an anytime algorithm for planning paths through high-dimensional, non-uniform cost search spaces. Our approach works by generating a series of Rapidly-exploring Rand...
Dave Ferguson, Anthony Stentz