Size Independent Neural Transfer for RDDL Planning

Sankalp Garg
Sankalp Garg
Aniket Bajpai
Aniket Bajpai

ICAPS, pp. 631-636, 2019.

Cited by: 3|Bibtex|Views38|Links
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Abstract:

Neural planners for RDDL MDPs produce deep reactive policies in an offline fashion. These scale well with large domains, but are sample inefficient and time-consuming to train from scratch for each new problem. To mitigate this, recent work has studied neural transfer learning, so that a generic planner trained on other problems of the sa...More

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