Sciweavers

AAAI
2010
13 years 11 months ago
Probabilistic Plan Recognition Using Off-the-Shelf Classical Planners
Plan recognition is the problem of inferring the goals and plans of an agent after observing its behavior. Recently, it has been shown that this problem can be solved efficiently,...
Miquel Ramírez, Hector Geffner
AAAI
2010
13 years 11 months ago
Representation Discovery in Sequential Decision Making
Automatically constructing novel representations of tasks from analysis of state spaces is a longstanding fundamental challenge in AI. I review recent progress on this problem for...
Sridhar Mahadevan
AAAI
2010
13 years 11 months ago
Ad Hoc Autonomous Agent Teams: Collaboration without Pre-Coordination
As autonomous agents proliferate in the real world, both in software and robotic settings, they will increasingly need to band together for cooperative activities with previously ...
Peter Stone, Gal A. Kaminka, Sarit Kraus, Jeffrey ...
AAAI
2010
13 years 11 months ago
Symmetry Detection in General Game Playing
We develop a method for detecting symmetries in arbitrary games and exploiting these symmetries when using tree search to play the game. Games in the General Game Playing domain a...
Stephan Schiffel
AAAI
2010
13 years 11 months ago
Structure Learning for Markov Logic Networks with Many Descriptive Attributes
Many machine learning applications that involve relational databases incorporate first-order logic and probability. Markov Logic Networks (MLNs) are a prominent statistical relati...
Hassan Khosravi, Oliver Schulte, Tong Man, Xiaoyua...
AAAI
2010
13 years 11 months ago
Efficient Lifting for Online Probabilistic Inference
Lifting can greatly reduce the cost of inference on firstorder probabilistic graphical models, but constructing the lifted network can itself be quite costly. In online applicatio...
Aniruddh Nath, Pedro Domingos
AAAI
2010
13 years 11 months ago
Progress on Agent Coordination with Cooperative Auctions
Auctions are promising decentralized methods for teams of agents to allocate and re-allocate tasks among themselves in dynamic, partially known and time-constrained domains with p...
Sven Koenig, Pinar Keskinocak, Craig A. Tovey
AAAI
2010
13 years 11 months ago
Dominance Testing via Model Checking
Dominance testing, the problem of determining whether an outcome is preferred over another, is of fundamental importance in many applications. Hence, there is a need for algorithm...
Ganesh Ram Santhanam, Samik Basu, Vasant Honavar
AAAI
2010
13 years 11 months ago
Adaptive Transfer Learning
Transfer learning aims at reusing the knowledge in some source tasks to improve the learning of a target task. Many transfer learning methods assume that the source tasks and the ...
Bin Cao, Sinno Jialin Pan, Yu Zhang, Dit-Yan Yeung...