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» Progressive Optimization in Action
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ATAL
2005
Springer
15 years 7 months ago
Exploiting belief bounds: practical POMDPs for personal assistant agents
Agents or agent teams deployed to assist humans often face the challenges of monitoring the state of key processes in their environment (including the state of their human users t...
Pradeep Varakantham, Rajiv T. Maheswaran, Milind T...
AIPS
2010
15 years 4 months ago
Computing Applicability Conditions for Plans with Loops
The utility of including loops in plans has been long recognized by the planning community. Loops in a plan help increase both its applicability and the compactness of representat...
Siddharth Srivastava, Neil Immerman, Shlomo Zilber...
JAIR
2006
122views more  JAIR 2006»
15 years 1 months ago
Solving Factored MDPs with Hybrid State and Action Variables
Efficient representations and solutions for large decision problems with continuous and discrete variables are among the most important challenges faced by the designers of automa...
Branislav Kveton, Milos Hauskrecht, Carlos Guestri...
GECCO
2007
Springer
174views Optimization» more  GECCO 2007»
15 years 5 months ago
Classifier systems that compute action mappings
The learning in a niche based learning classifier system depends both on the complexity of the problem space and on the number of available actions. In this paper, we introduce a ...
Pier Luca Lanzi, Daniele Loiacono
AAAI
2006
15 years 3 months ago
Techniques for Generating Optimal, Robust Plans when Temporal Uncertainty is Present
Planning under uncertainty has been well studied, but usually the uncertainty is in action outcomes. This work instead investigates uncertainty in the amount of time that actions ...
Janae N. Foss