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» Optimal Control with Adaptive Internal Dynamics Models
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AAAI
2008
15 years 6 months ago
Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation
Off-policy reinforcement learning is aimed at efficiently reusing data samples gathered in the past, which is an essential problem for physically grounded AI as experiments are us...
Hirotaka Hachiya, Takayuki Akiyama, Masashi Sugiya...
CF
2004
ACM
15 years 9 months ago
Modeling service-based multimedia content adaptation in pervasive computing
Pervasive computing applications allow users to access information from anywhere while traveling and using variety of devices. Heterogeneity and limitation of resources involved i...
Girma Berhe, Lionel Brunie, Jean-Marc Pierson
149
Voted
ECAI
2010
Springer
15 years 5 months ago
The Dynamics of Multi-Agent Reinforcement Learning
Abstract. Infinite-horizon multi-agent control processes with nondeterminism and partial state knowledge have particularly interesting properties with respect to adaptive control, ...
Luke Dickens, Krysia Broda, Alessandra Russo
ICB
2007
Springer
142views Biometrics» more  ICB 2007»
15 years 8 months ago
Speaker Verification with Adaptive Spectral Subband Centroids
Abstract. Spectral subband centroids (SSC) have been used as an additional feature to cepstral coefficients in speech and speaker recognition. SSCs are computed as the centroid fre...
Tomi Kinnunen, Bingjun Zhang, Jia Zhu, Ye Wang
130
Voted
CORR
2008
Springer
150views Education» more  CORR 2008»
15 years 4 months ago
Enhanced Energy-Aware Feedback Scheduling of Embedded Control Systems
Dynamic voltage scaling (DVS) is one of the most effective techniques for reducing energy consumption in embedded and real-time systems. However, traditional DVS algorithms have in...
Feng Xia, Longhua Ma, Wenhong Zhao, Youxian Sun, J...