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» Using Learning in a Control Agent
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CISIS
2011
IEEE
14 years 2 months ago
Agent-based Pickup and Delivery Planning: The Learnable Evolution Model Approach
—The Dynamic Vehicle Routing Problem (DVRP) is an optimization problem in which agents deliver orders that are not known in advance to the routing. Partial solutions need to be a...
Janusz Wojtusiak, Tobias Warden, Otthein Herzog
101
Voted
ICML
2008
IEEE
16 years 3 months ago
Space-indexed dynamic programming: learning to follow trajectories
We consider the task of learning to accurately follow a trajectory in a vehicle such as a car or helicopter. A number of dynamic programming algorithms such as Differential Dynami...
J. Zico Kolter, Adam Coates, Andrew Y. Ng, Yi Gu, ...
118
Voted
CE
2008
128views more  CE 2008»
15 years 2 months ago
Beyond threaded discussion: Representational guidance in asynchronous collaborative learning environments
Although most online learning environments are predominately text based, researchers have argued that representational support for the conceptual structure of a problem would addr...
Daniel D. Suthers, Ravi K. Vatrapu, Richard Medina...
GECCO
2006
Springer
138views Optimization» more  GECCO 2006»
15 years 6 months ago
Does overfitting affect performance in estimation of distribution algorithms
Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...
Hao Wu, Jonathan L. Shapiro
AIIDE
2009
15 years 3 months ago
Examining Extended Dynamic Scripting in a Tactical Game Framework
Dynamic scripting is a reinforcement learning algorithm designed specifically to learn appropriate tactics for an agent in a modern computer game, such as Neverwinter Nights. This...
Jeremy Ludwig, Arthur Farley