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» Learning Probabilistic Models of Relational Structure
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107
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RAS
2010
117views more  RAS 2010»
14 years 11 months ago
Extending BDI plan selection to incorporate learning from experience
An important drawback to the popular Belief, Desire, and Intentions (BDI) paradigm is that such systems include no element of learning from experience. We describe a novel BDI exe...
Dhirendra Singh, Sebastian Sardiña, Lin Pad...
144
Voted
JAIR
2008
148views more  JAIR 2008»
15 years 16 days ago
Learning Partially Observable Deterministic Action Models
We present exact algorithms for identifying deterministic-actions' effects and preconditions in dynamic partially observable domains. They apply when one does not know the ac...
Eyal Amir, Allen Chang
86
Voted
CPHYSICS
2006
95views more  CPHYSICS 2006»
15 years 17 days ago
Efficient data processing and quantum phenomena: Single-particle systems
We study the relation between the acquisition and analysis of data and quantum theory using a probabilistic and deterministic model for photon polarizers. We introduce criteria fo...
H. De Raedt, Koen De Raedt, K. Michielsen, S. Miya...
MIRRORBOT
2005
Springer
139views Robotics» more  MIRRORBOT 2005»
15 years 6 months ago
A Virtual Reality Platform for Modeling Cognitive Development
We present a virtual reality platform for developing and evaluating embodied models of cognitive development. The platform facilitates structuring of the learning agent, of its vi...
Hector Jasso, Jochen Triesch
97
Voted
ATAL
2004
Springer
15 years 6 months ago
Best-Response Multiagent Learning in Non-Stationary Environments
This paper investigates a relatively new direction in Multiagent Reinforcement Learning. Most multiagent learning techniques focus on Nash equilibria as elements of both the learn...
Michael Weinberg, Jeffrey S. Rosenschein