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EXPERT
1998
86views more  EXPERT 1998»
13 years 8 months ago
IMACS: A Case Study in Real-World Planning
This article illustrates the complexities of real-world planning and how we can create AI planning systems to address them. We describe the IMACS Project (Interactive Manufacturab...
Satyandra K. Gupta, Dana S. Nau, William C. Regli
IJRR
2010
177views more  IJRR 2010»
13 years 7 months ago
Learning from Demonstration for Autonomous Navigation in Complex Unstructured Terrain
Rough terrain autonomous navigation continues to pose a challenge to the robotics community. Robust navigation by a mobile robot depends not only on the individual performance of ...
David Silver, J. Andrew Bagnell, Anthony Stentz
COMAD
2009
13 years 10 months ago
On the Complexity of Multi-Query Optimization in Stream Grids
Stream grids are wide-area grid computing environments that are fed by a set of stream data sources. Such grids are becoming more wide-spread due to the large scale deployment of ...
Saikat Mukherjee, Srinath Srinivasa, Krithi Ramamr...
AAAI
2011
12 years 8 months ago
Coarse-to-Fine Inference and Learning for First-Order Probabilistic Models
Coarse-to-fine approaches use sequences of increasingly fine approximations to control the complexity of inference and learning. These techniques are often used in NLP and visio...
Chloe Kiddon, Pedro Domingos
JMLR
2010
149views more  JMLR 2010»
13 years 3 months ago
Coherent Inference on Optimal Play in Game Trees
Round-based games are an instance of discrete planning problems. Some of the best contemporary game tree search algorithms use random roll-outs as data. Relying on a good policy, ...
Philipp Hennig, David H. Stern, Thore Graepel