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ATAL
2009
Springer
14 years 4 months ago
An empirical analysis of value function-based and policy search reinforcement learning
In several agent-oriented scenarios in the real world, an autonomous agent that is situated in an unknown environment must learn through a process of trial and error to take actio...
Shivaram Kalyanakrishnan, Peter Stone
CIKM
2010
Springer
13 years 8 months ago
Who should I cite: learning literature search models from citation behavior
Scientists depend on literature search to find prior work that is relevant to their research ideas. We introduce a retrieval model for literature search that incorporates a wide ...
Steven Bethard, Dan Jurafsky
DAC
2005
ACM
14 years 11 months ago
Structural search for RTL with predicate learning
We present an efficient search strategy for satisfiability checking on circuits represented at the register-transfer-level (RTL). We use the RTL circuit structure by extending con...
Ganapathy Parthasarathy, Madhu K. Iyer, Kwang-Ting...
ICDCSW
2006
IEEE
14 years 4 months ago
Improve Searching by Reinforcement Learning in Unstructured P2Ps
— Existing searching schemes in unstructured P2Ps can be categorized as either blind or informed. The quality of query results in blind schemes is low. Informed schemes use simpl...
Xiuqi Li, Jie Wu
NIPS
2007
13 years 11 months ago
A General Boosting Method and its Application to Learning Ranking Functions for Web Search
We present a general boosting method extending functional gradient boosting to optimize complex loss functions that are encountered in many machine learning problems. Our approach...
Zhaohui Zheng, Hongyuan Zha, Tong Zhang, Olivier C...