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FLAIRS
1998
13 years 9 months ago
Analytical Design of Reinforcement Learning Tasks
Reinforcement learning (RL) problems constitute an important class of learning and control problems faced by artificial intelligence systems. In these problems, one is faced with ...
Robert E. Smith
CLOUD
2010
ACM
14 years 21 days ago
Comet: batched stream processing for data intensive distributed computing
Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...
Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, B...
AGENTS
2001
Springer
14 years 4 days ago
Monitoring deployed agent teams
Recent years are seeing an increasing need for on-line monitoring of deployed distributed teams of cooperating agents, e.g., for visualization, or performance tracking. However, i...
Gal A. Kaminka, David V. Pynadath, Milind Tambe
SIGMOD
2010
ACM
211views Database» more  SIGMOD 2010»
14 years 13 days ago
ERACER: a database approach for statistical inference and data cleaning
Real-world databases often contain syntactic and semantic errors, in spite of integrity constraints and other safety measures incorporated into modern DBMSs. We present ERACER, an...
Chris Mayfield, Jennifer Neville, Sunil Prabhakar
ASPLOS
2008
ACM
13 years 9 months ago
The mapping collector: virtual memory support for generational, parallel, and concurrent compaction
Parallel and concurrent garbage collectors are increasingly employed by managed runtime environments (MREs) to maintain scalability, as multi-core architectures and multi-threaded...
Michal Wegiel, Chandra Krintz