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AAAI
2011
14 years 4 months ago
Combining Learned Discrete and Continuous Action Models
Action modeling is an important skill for agents that must perform tasks in novel domains. Previous work on action modeling has focused on learning STRIPS operators in discrete, r...
Joseph Z. Xu, John E. Laird
SODA
2012
ACM
240views Algorithms» more  SODA 2012»
13 years 6 months ago
Simultaneous approximations for adversarial and stochastic online budgeted allocation
Motivated by online ad allocation, we study the problem of simultaneous approximations for the adversarial and stochastic online budgeted allocation problem. This problem consists...
Vahab S. Mirrokni, Shayan Oveis Gharan, Morteza Za...
ICDE
2008
IEEE
232views Database» more  ICDE 2008»
16 years 5 months ago
Continuous Content-Based Copy Detection over Streaming Videos
Digital videos are increasingly adopted in various multimedia applications where they are usually broadcasted or transmitted as video streams. Continuously monitoring copies on the...
Ying Yan, Beng Chin Ooi, Aoying Zhou
132
Voted
ENC
2004
IEEE
15 years 7 months ago
Continuous Mode Changes in Mechatronic Systems
This paper deals with the problem of controlling highly dynamic mechatronic systems. Such systems may work in several different operation modes, or even underlie continuous mode c...
Klaus Ecker, Andrei Tchernykh, Frank Drews, Silke ...
CEC
2005
IEEE
15 years 6 months ago
XCS with computed prediction in continuous multistep environments
We apply XCS with computed prediction (XCSF) to tackle multistep reinforcement learning problems involving continuous inputs. In essence we use XCSF as a method of generalized rein...
Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wils...