Sciweavers

388 search results - page 26 / 78
» Learning to Optimize Plan Execution in Information Agents
Sort
View
AIPS
2011
12 years 11 months ago
Planning and Acting in Incomplete Domains
Engineering complete planning domain descriptions is often very costly because of human error or lack of domain knowledge. Learning complete domain descriptions is also very chall...
Christopher Weber, Daniel Bryce
AAAI
2011
12 years 7 months ago
Coordinated Multi-Agent Reinforcement Learning in Networked Distributed POMDPs
In many multi-agent applications such as distributed sensor nets, a network of agents act collaboratively under uncertainty and local interactions. Networked Distributed POMDP (ND...
Chongjie Zhang, Victor R. Lesser
ICML
1997
IEEE
14 years 8 months ago
Hierarchical Explanation-Based Reinforcement Learning
Explanation-Based Reinforcement Learning (EBRL) was introduced by Dietterich and Flann as a way of combining the ability of Reinforcement Learning (RL) to learn optimal plans with...
Prasad Tadepalli, Thomas G. Dietterich
EDBT
2010
ACM
189views Database» more  EDBT 2010»
14 years 19 days ago
Efficient physical operators for cost-based XPath execution
The creation of a generic and modular query optimization and processing infrastructure can provide significant benefits to XML data management. Key pieces of such an infrastructur...
Haris Georgiadis, Minas Charalambides, Vasilis Vas...
NIPS
1993
13 years 8 months ago
Using Local Trajectory Optimizers to Speed Up Global Optimization in Dynamic Programming
Dynamic programming provides a methodology to develop planners and controllers for nonlinear systems. However, general dynamic programming is computationally intractable. We have ...
Christopher G. Atkeson