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» Approximate Learning of Dynamic Models
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AIIDE
2009
15 years 6 months ago
Examining Extended Dynamic Scripting in a Tactical Game Framework
Dynamic scripting is a reinforcement learning algorithm designed specifically to learn appropriate tactics for an agent in a modern computer game, such as Neverwinter Nights. This...
Jeremy Ludwig, Arthur Farley
179
Voted
ISRR
2005
Springer
149views Robotics» more  ISRR 2005»
15 years 10 months ago
Emergence, Exploration and Learning of Embodied Behavior
A novel model for dynamic emergence and adaptation of embodied behavior is proposed. A musculo-skeletal system is controlled by a number of chaotic elements, each of which driving...
Yasuo Kuniyoshi, Shinsuke Suzuki, Shinji Sangawa
IJCNN
2007
IEEE
15 years 11 months ago
Integrating a Flexible Representation Machinery in a Model of Human Concept Learning
— High-order human cognition involves processing of abstract and categorically represented knowledge. Traditionally, it has been considered that there is a single innate internal...
Toshihiko Matsuka, Yasuaki Sakamoto
NECO
2010
136views more  NECO 2010»
15 years 3 months ago
Learning to Represent Spatial Transformations with Factored Higher-Order Boltzmann Machines
To allow the hidden units of a restricted Boltzmann machine to model the transformation between two successive images, Memisevic and Hinton (2007) introduced three-way multiplicat...
Roland Memisevic, Geoffrey E. Hinton
IADIS
2008
15 years 6 months ago
Lecomps5: A Web-Based Learning System For Course Personalization And Adaptation
This paper presents Lecomps5, a web-based system for automated course personalization in distance learning environments. This system is an upgraded version of the Lecomps4 system,...
Carla Limongelli, Filippo Sciarrone, Marco Temperi...