The results show that the utility-based planner performed significantly better than the goal-based planner when it could rely on a small number of actions, and showed a statistical trend to do so for a higher number of actions ( Figure 12 ).
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An Embodied Agent Learning Affordances With Intrinsic Motivations and Solving Extrinsic Tasks With Attention and One-Step Planning.
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