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» Continuous Optimization of Hyper-Parameters
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AAAI
2011
14 years 3 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
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 ...
AAAI
2008
15 years 5 months ago
Towards Faster Planning with Continuous Resources in Stochastic Domains
Agents often have to construct plans that obey resource limits for continuous resources whose consumption can only be characterized by probability distributions. While Markov Deci...
Janusz Marecki, Milind Tambe
CEC
2005
IEEE
15 years 5 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...
LFP
1992
153views more  LFP 1992»
15 years 4 months ago
Reasoning About Programs in Continuation-Passing Style
The CPS transformation dates back to the early 1970's, where it arose as a technique to represent the control flow of programs in -calculus based programming languages as -te...
Amr Sabry, Matthias Felleisen