Skip to main content Skip to main navigation

Publication

Invited Talk: Increasing Representational Power and Scaling Inference in Reinforcement Learning

Kristian Kersting
In: Scott Sanner; Marcus Hutter (Hrsg.). Recent Advances in Reinforcement Learning - 9th European Workshop. European Workshop on Reinforcement Learning (EWRL-2011), September 9-11, Athens, Greece, Lecture Notes in Computer Science, Vol. 7188, Springer, 2011.

Abstract

As robots are starting to perform everyday manipulation tasks, such as cleaning up, setting a table or preparing simple meals, they must become much more knowledgeable than they are today. Natural environments are composed of objects, and the possibilities to manipulate them are highly structured due to the general laws governing our relational world. All these need to be acknowledged when we want to realize thinking robots that efficiently learn how to accomplish tasks in our relational world.

Weitere Links