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» Inference and Learning in Planning
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ICAART
2010
INSTICC
15 years 6 months ago
Complexity of Stochastic Branch and Bound Methods for Belief Tree Search in Bayesian Reinforcement Learning
There has been a lot of recent work on Bayesian methods for reinforcement learning exhibiting near-optimal online performance. The main obstacle facing such methods is that in most...
Christos Dimitrakakis
VLDB
2007
ACM
129views Database» more  VLDB 2007»
15 years 3 months ago
Processing Forecasting Queries
Forecasting future events based on historic data is useful in many domains like system management, adaptive query processing, environmental monitoring, and financial planning. We...
Songyun Duan, Shivnath Babu
AAAI
2011
13 years 9 months ago
Understanding Natural Language Commands for Robotic Navigation and Mobile Manipulation
This paper describes a new model for understanding natural language commands given to autonomous systems that perform navigation and mobile manipulation in semi-structured environ...
Stefanie Tellex, Thomas Kollar, Steven Dickerson, ...
AIED
2005
Springer
15 years 3 months ago
An Agent-based Approach to Assisting Learners to Dynamically Adjust Learning Processes
This paper presents an agent-based approach to assisting learners to dynamically adjust learning processes. The online learning process is first investigated where the importance ...
Weidong Pan
LOGCOM
2002
142views more  LOGCOM 2002»
14 years 9 months ago
Two Logical Theories of Plan Recognition
We present a logical approach to plan recognition that builds on Kautz's theory of keyhole plan recognition, defined as the problem of inferring descriptions of high-level pl...
Wayne Wobcke