Clustering via Dirichlet Process Mixture Models for Portable Skill Discovery

NeurIPS 2011 Scott NiekumAndrew G. Barto

Skill discovery algorithms in reinforcement learning typically identify single states or regions in state space that correspond to task-specific subgoals. However, such methods do not directly address the question of how many distinct skills are appropriate for solving the tasks that the agent faces... (read more)

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