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AAAI
2006
13 years 8 months ago
Learning Partially Observable Action Schemas
We present an algorithm that derives actions' effects and preconditions in partially observable, relational domains. Our algorithm has two unique features: an expressive rela...
Dafna Shahaf, Eyal Amir
ICRA
2008
IEEE
210views Robotics» more  ICRA 2008»
14 years 1 months ago
Toward designing a robot that learns actions from parental demonstrations
— How to teach actions to a robot as well as how a robot learns actions is an important issue to be discussed in designing robot learning systems. Inspired by human parentinfant ...
Yukie Nagai, Claudia Muhl, Katharina J. Rohlfing
UM
2007
Springer
14 years 1 months ago
Modeling the Acquisition of Fluent Skill in Educational Action Games
There has been increasing interest in using games for education, but little investigation of how to model student learning within games [cf. 6]. We investigate how existing techniq...
Ryan Shaun Joazeiro de Baker, M. P. Jacob Habgood,...
AAAI
2006
13 years 8 months ago
Action Selection in Bayesian Reinforcement Learning
My research attempts to address on-line action selection in reinforcement learning from a Bayesian perspective. The idea is to develop more effective action selection techniques b...
Tao Wang
AAAI
2006
13 years 8 months ago
Learning Partially Observable Action Models: Efficient Algorithms
We present tractable, exact algorithms for learning actions' effects and preconditions in partially observable domains. Our algorithms maintain a propositional logical repres...
Dafna Shahaf, Allen Chang, Eyal Amir