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AAAI
2010
13 years 9 months ago
Decision-Theoretic Control of Crowd-Sourced Workflows
Crowd-sourcing is a recent framework in which human intelligence tasks are outsourced to a crowd of unknown people ("workers") as an open call (e.g., on Amazon's Me...
Peng Dai, Mausam, Daniel S. Weld
ICONIP
2007
13 years 9 months ago
Policy Learning for Motor Skills
Policy learning which allows autonomous robots to adapt to novel situations has been a long standing vision of robotics, artificial intelligence, and cognitive sciences. However, ...
Jan Peters, Stefan Schaal
IJCAI
2007
13 years 9 months ago
Learning Policies for Embodied Virtual Agents through Demonstration
Although many powerful AI and machine learning techniques exist, it remains difficult to quickly create AI for embodied virtual agents that produces visually lifelike behavior. T...
Jonathan Dinerstein, Parris K. Egbert, Dan Ventura
IJCAI
2007
13 years 9 months ago
Utile Distinctions for Relational Reinforcement Learning
We introduce an approach to autonomously creating state space abstractions for an online reinforcement learning agent using a relational representation. Our approach uses a tree-b...
William Dabney, Amy McGovern
DBSEC
2006
124views Database» more  DBSEC 2006»
13 years 9 months ago
Consolidating the Access Control of Composite Applications and Workflows
The need for enterprise application integration projects leads to complex composite applications. For the sake of security and efficiency, consolidated access control policies for ...
Martin Wimmer, Alfons Kemper, Maarten Rits, Volkma...