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Št. zadetkov: 7
Planning and Scheduling for Traffic Control
Scott Sanner
Video in druga učna gradiva
Oznake: computer science;artificial intelligence;planning and scheduling
The ubiquity of urban traffic congestion and the fundamental impact that better traffic control can have on urban environments makes it an important research topic for the automated planning and scheduling community. To reduce traffic congestion by just 10% can have massive economic, environmental, ...
Leto: 2010 Vir: videolectures.net
Uncertainty Competition
Scott Sanner
Video in druga učna gradiva
Oznake: computer science;artificial intelligence;planning and scheduling
Leto: 2011 Vir: videolectures.net
Introduction to Planning Domain Modeling in RDDL
Scott Sanner
Video in druga učna gradiva
Oznake: computer science;artificial intelligence;planning and scheduling
RDDL is the Relational Dynamic Influence Diagram Language, the domain modeling language used in the ICAPS 2011 International Probabilistic Planning Competition. RDDL has been developed to compactly model real-world planning problems that use boolean, multi-valued, integer and continuous variables, u ...
Leto: 2011 Vir: videolectures.net
Learning CRFs with Hierarchical Features: An Application to Go
Scott Sanner
Video in druga učna gradiva
Oznake: computer science;machine learning;graphical models;structured data;mathematics;game theory
Leto: 2007 Vir: videolectures.net
First-Order Models for Sequential Decision-Making
Scott Sanner
Video in druga učna gradiva
Oznake: computer science;decision support
In this talk I will discuss first-order models and algorithms for sequential decision-making, specifically those approaches that admit exact lifted solutions. The first emphasis of the talk will be on the insights that underlie these models and algorithms along with potential caveats for their pract ...
Leto: 2009 Vir: videolectures.net
Exact Bayesian Pairwise Preference Learning and Inference on the Uniform Convex Polytope
Scott Sanner
Video in druga učna gradiva
Oznake: computer science;machine learning;bayesian learning;astronomy;cosmology
In Bayesian approaches to utility learning from preferences, the objective is to infer a posterior belief distribution over an agent’s utility function based on previously observed agent preferences. From this, one can then estimate quantities such as the expected utility of a decision or the probab ...
Leto: 2011 Vir: videolectures.net
Reinforcement learning
Scott Sanner
Video in druga učna gradiva
Oznake: computer science;machine learning;reinforcement learning
This course covers the theory and application of reinforcement learning: the task of learning to make optimal sequential decisions when given a delayed reward signal. Topics will include planning in known and unknown environments and will place equal emphasis on theoretical results and practical imp ...
Leto: 2009 Vir: videolectures.net
Št. zadetkov: 7
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