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FLAIRS
2001
15 years 5 months ago
User-Agent Interactions in Mixed-Initiative Learning
Mixed-initiative learning integrates complementary human and automated reasoning, taking advantage of their respective reasoning styles and computational strengths in order to sol...
Dorin Marcu, Mihai Boicu, Gheorghe Tecuci
153
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AGENTS
2001
Springer
15 years 8 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
AAAI
2007
15 years 6 months ago
Combining Multiple Heuristics Online
We present black-box techniques for learning how to interleave the execution of multiple heuristics in order to improve average-case performance. In our model, a user is given a s...
Matthew J. Streeter, Daniel Golovin, Stephen F. Sm...
RAS
2006
108views more  RAS 2006»
15 years 3 months ago
A computational model of intention reading in imitation
Imitation in artificial systems involves a number of important aspects, such as extracting the relevant features of the demonstrated behaviour, inverse mapping observations, and e...
Bart Jansen, Tony Belpaeme
ICIA
2007
15 years 6 months ago
A Decision-Theoretic Model of Assistance - Evaluation, Extensions and Open Problems
There is a growing interest in intelligent assistants for a variety of applications from organizing tasks for knowledge workers to helping people with dementia. In our earlier wor...
Sriraam Natarajan, Kshitij Judah, Prasad Tadepalli...