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AI Planning Annotation for Sample Efficient Reinforcement Learning

#artificialintelligenceMar-3-2022, 02:36:55 GMT

The RL environment maintains the states of the grounded logistics planning domain. In the experiment, we define a planning task as an abstract planning task that is defined over the subset of the predicates and actions in the grounded logistics planning task. Therefore, the state mapping function is a projection of logical variables from an RL state to its planning state. The PDDL domain file used for the RL task is desribed as follows.

ai planning annotation, planning task, sample efficient reinforcement learning

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Technology: Information Technology > Artificial Intelligence > Machine Learning > Reinforcement Learning (0.40)

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