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ICML
2003
IEEE
16 years 7 months ago
Hierarchical Policy Gradient Algorithms
Hierarchical reinforcement learning is a general framework which attempts to accelerate policy learning in large domains. On the other hand, policy gradient reinforcement learning...
Mohammad Ghavamzadeh, Sridhar Mahadevan
ECOOP
2009
Springer
16 years 7 months ago
Making Sense of Large Heaps
Abstract. It is common for large-scale Java applications to suffer memory problems, whether inefficient designs that impede scalability, or lifetime bugs such as leaks. Making sens...
Nick Mitchell, Edith Schonberg, Gary Sevitsky
CHI
2007
ACM
16 years 7 months ago
The relationship between accessibility and usability of websites
Accessibility and usability are well established concepts for user interfaces and websites. Usability is precisely defined, but there are different approaches to accessibility. In...
Helen Petrie, Omar Kheir
SIGMOD
2006
ACM
117views Database» more  SIGMOD 2006»
16 years 7 months ago
Database support for matching: limitations and opportunities
We define a match join of R and S with predicate to be a subset of the -join of R and S such that each tuple of R and S contributes to at most one result tuple. Match joins and t...
Ameet Kini, Srinath Shankar, Jeffrey F. Naughton, ...
SIGMOD
2005
ACM
153views Database» more  SIGMOD 2005»
16 years 7 months ago
Multiple Aggregations Over Data Streams
Monitoring aggregates on IP traffic data streams is a compelling application for data stream management systems. The need for exploratory IP traffic data analysis naturally leads ...
Rui Zhang 0003, Nick Koudas, Beng Chin Ooi, Divesh...