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Autonomous development of goals: From generic rewards to goal and self detection

机译:自主制定目标:从通用奖励到目标和自我发现

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Goals are abstractions that express agents' intention and allow them to organize their behavior appropriately. How can agents develop such goals autonomously? This paper proposes a conceptual and computational account to this longstanding problem. We argue to consider goals as abstractions of lower-level intention mechanisms such as rewards and values, and point out that goals need to be considered alongside with a detection of the own actions' effects. Then, both goals and self-detection can be learned from generic rewards. We show experimentally that task-unspecific rewards induced by visual saliency lead to self and goal representations that constitute goal-directed reaching.
机译:目标是表达代理意图并允许他们适当组织其行为的抽象。代理商如何才能自主制定此类目标?本文针对这一长期存在的问题提出了概念上和计算上的解释。我们认为将目标视为诸如奖励和价值之类的较低层次的意图机制的抽象,并指出在检测自身行为的效果的同时还应考虑目标。然后,可以从通用奖励中学习目标和自我检测。我们通过实验表明,视觉显着性导致的任务非特定奖励导致自我和目标表征,构成目标导向的达成。

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