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» Inference and Learning in Planning
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154
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IROS
2006
IEEE
165views Robotics» more  IROS 2006»
16 years 3 days ago
Learning Relational Navigation Policies
— Navigation is one of the fundamental tasks for a mobile robot. The majority of path planning approaches has been designed to entirely solve the given problem from scratch given...
Alexandru Cocora, Kristian Kersting, Christian Pla...
AGENTS
2001
Springer
15 years 10 months ago
Using background knowledge to speed reinforcement learning in physical agents
This paper describes Icarus, an agent architecture that embeds a hierarchical reinforcement learning algorithm within a language for specifying agent behavior. An Icarus program e...
Daniel G. Shapiro, Pat Langley, Ross D. Shachter
HICSS
2003
IEEE
136views Biometrics» more  HICSS 2003»
15 years 11 months ago
Adopting New IT by Learning in Groups: Results of Discourse Analysis
A new HR system was introduced into a Dutch hospital. The system implied collaborative work among its users. The project planning seemed to be reasonably
Tatyana V. Bondarouk, Huub J. M. Ruël
158
Voted
IJRR
2011
126views more  IJRR 2011»
15 years 1 months ago
Optimization and learning for rough terrain legged locomotion
We present a novel approach to legged locomotion over rough terrain that is thoroughly rooted in optimization. This approach relies on a hierarchy of fast, anytime algorithms to p...
Matthew Zucker, Nathan D. Ratliff, Martin Stolle, ...
COLT
2010
Springer
15 years 4 months ago
Strongly Non-U-Shaped Learning Results by General Techniques
In learning, a semantic or behavioral U-shape occurs when a learner rst learns, then unlearns, and, nally, relearns, some target concept (on the way to success). Within the framew...
John Case, Timo Kötzing