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ATAL
2006
Springer
15 years 10 months ago
Probabilistic policy reuse in a reinforcement learning agent
We contribute Policy Reuse as a technique to improve a reinforcement learning agent with guidance from past learned similar policies. Our method relies on using the past policies ...
Fernando Fernández, Manuela M. Veloso
193
Voted
CIVR
2006
Springer
219views Image Analysis» more  CIVR 2006»
15 years 10 months ago
Bayesian Learning of Hierarchical Multinomial Mixture Models of Concepts for Automatic Image Annotation
We propose a novel Bayesian learning framework of hierarchical mixture model by incorporating prior hierarchical knowledge into concept representations of multi-level concept struc...
Rui Shi, Tat-Seng Chua, Chin-Hui Lee, Sheng Gao
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
15 years 10 months ago
Selecting for evolvable representations
Evolutionary algorithms tend to produce solutions that are not evolvable: Although current fitness may be high, further search is impeded as the effects of mutation and crossover ...
Joseph Reisinger, Risto Miikkulainen
ASPDAC
2001
ACM
75views Hardware» more  ASPDAC 2001»
15 years 10 months ago
Correlation method of circuit-performance and technology fluctuations for improved design reliability
Abstract-- We propose a method of correlating circuit performance with technology fluctuations during the circuit-design phase. The method employs test circuits sensitive for techn...
D. Miyawaki, Shizunori Matsumoto, Hans Jürgen...
INFOCOM
1995
IEEE
15 years 10 months ago
Usage-Based Pricing of Packet Data Generated by a Heterogeneous User Population
Usage-based pricing of offered traffic to a data network can be an effective technique for congestion control. To gain insight into the benejits usage-based pricing offers, we pro...
Michael L. Honig, Kenneth Steiglitz