Sciweavers

2299 search results - page 133 / 460
» Inference and Learning in Planning
Sort
View
UAI
2008
15 years 8 months ago
Model-Based Bayesian Reinforcement Learning in Large Structured Domains
Model-based Bayesian reinforcement learning has generated significant interest in the AI community as it provides an elegant solution to the optimal exploration-exploitation trade...
Stéphane Ross, Joelle Pineau
ICCBR
2009
Springer
16 years 1 months ago
S-Learning: A Model-Free, Case-Based Algorithm for Robot Learning and Control
A model-free, case-based learning and control algorithm called S-learning is described as implemented in a simulation of a light-seeking mobile robot. S-learning demonstrated learn...
Brandon Rohrer
AIPS
2008
15 years 8 months ago
Learning Heuristic Functions through Approximate Linear Programming
Planning problems are often formulated as heuristic search. The choice of the heuristic function plays a significant role in the performance of planning systems, but a good heuris...
Marek Petrik, Shlomo Zilberstein
PKDD
2009
Springer
102views Data Mining» more  PKDD 2009»
16 years 1 months ago
Relevance Grounding for Planning in Relational Domains
Probabilistic relational models are an efficient way to learn and represent the dynamics in realistic environments consisting of many objects. Autonomous intelligent agents that gr...
Tobias Lang, Marc Toussaint
ECTEL
2007
Springer
16 years 20 days ago
CAMEL: Taking the Technology Enhanced Learning Journey without Reinventing the Wheel
Projects involving technology are notoriously dogged with difficulties and a number of lessons can be learned. Rather than detail examples from particular TEL projects, the author ...
Gill Ferrell