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ATAL
2007
Springer
14 years 1 months ago
Batch reinforcement learning in a complex domain
Temporal difference reinforcement learning algorithms are perfectly suited to autonomous agents because they learn directly from an agent’s experience based on sequential actio...
Shivaram Kalyanakrishnan, Peter Stone
MOBISYS
2008
ACM
13 years 10 months ago
Community sensor grids: virtualization for sharing across domains
Wireless sensor networks have been traditionally designed to be privately owned and used. Hence the two hallmark features of sensor networks, namely customized network application...
Amiya Bhattacharya, Meddage S. Fernando, Partha Da...
ATAL
2008
Springer
13 years 9 months ago
Analysis of an evolutionary reinforcement learning method in a multiagent domain
Many multiagent problems comprise subtasks which can be considered as reinforcement learning (RL) problems. In addition to classical temporal difference methods, evolutionary algo...
Jan Hendrik Metzen, Mark Edgington, Yohannes Kassa...
BCB
2010
140views Bioinformatics» more  BCB 2010»
13 years 2 months ago
Guiding belief propagation using domain knowledge for protein-structure determination
A major bottleneck in high-throughput protein crystallography is producing protein-structure models from an electrondensity map. In previous work, we developed Acmi, a probabilist...
Ameet Soni, Craig A. Bingman, Jude W. Shavlik
HOTNETS
2010
13 years 2 months ago
Listen (on the frequency domain) before you talk
Conventional WiFi networks perform channel contention in time domain. This is known to be wasteful because the channel is forced to remain idle, while all contending nodes are bac...
Souvik Sen, Romit Roy Choudhury, Srihari Nelakudit...