Betweenness Centrality as a Basis for Forming Skills

Özgür Şimşek; Andrew G. Barto

Betweenness Centrality as a Basis for Forming Skills

Özgür Şimşek, Andrew G. Barto

University of Massachusetts

Research output: Working paper / Preprint › Working paper

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Abstract

We show that betweenness centrality, a graph-theoretic measure widely used in social network analysis, provides a sound basis for autonomously forming useful high-level behaviors, or skills, from available primitives— the smallest behavioral units available to an autonomous agent.

Original language	English
Publisher	University of Massachusetts Amherst
Publication status	Published - 12 Apr 2007

Keywords

reinforcement learning
skill discovery
Hierarchical reinforcement learning
action hierachy

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Betweenness Centrality as a Basis for Forming Skills

Abstract

Keywords

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