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» A framework for learning coordinated behavior
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KDD
2009
ACM
210views Data Mining» more  KDD 2009»
14 years 9 months ago
Large-scale behavioral targeting
Behavioral targeting (BT) leverages historical user behavior to select the ads most relevant to users to display. The state-of-the-art of BT derives a linear Poisson regression mo...
Ye Chen, Dmitry Pavlov, John F. Canny
ICML
2003
IEEE
14 years 9 months ago
Q-Decomposition for Reinforcement Learning Agents
The paper explores a very simple agent design method called Q-decomposition, wherein a complex agent is built from simpler subagents. Each subagent has its own reward function and...
Stuart J. Russell, Andrew Zimdars
ICRA
2008
IEEE
128views Robotics» more  ICRA 2008»
14 years 2 months ago
Intrinsically motivated hierarchical manipulation
— We present a framework for the programming of manipulation behavior by means of an intrinsic reward function that encourages the building of deep control knowledge. We show how...
Stephen Hart, Shijaj Sen, Roderic A. Grupen
HICSS
1994
IEEE
111views Biometrics» more  HICSS 1994»
14 years 18 days ago
Fault-Tolerance for Communicating Multidatabase Transactions
In this paper we propose a framework that can be used for the implementation of reliable multi database system communication protocols. The framework provides transactions on shar...
eva Kühn
AIIDE
2009
13 years 9 months ago
Examining Extended Dynamic Scripting in a Tactical Game Framework
Dynamic scripting is a reinforcement learning algorithm designed specifically to learn appropriate tactics for an agent in a modern computer game, such as Neverwinter Nights. This...
Jeremy Ludwig, Arthur Farley