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title:(Planning AND from AND Pixels AND in AND Atari AND with AND Learned AND Symbolic AND Representations)

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1 Preprint article

Planning from Pixels in Atari with Learned Symbolic Representations

Width-based planning methods have been shown to yield state-of-the-art performance in the Atari 2600 domain using pixel input. One successful approach, RolloutIW, represents states with the B-PROST boolean feature set. An augmented version of RolloutIW, $\pi$-IW, shows that learned features can

Year: 2021

Language: Undetermined

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2 Conference paper

Planning from Pixels in Atari with Learned Symbolic Representations

Dittadi, Andrea; Drachmann, Frederik K.; Bolander, Thomas

Proceedings of 35<sup>th</sup> Aaai Conference on Artificial Intelligence — 2021, pp. 4941-4949

Width-based planning methods have been shown to yield state-of-the-art performance in the Atari 2600 domain using pixel input. One successful approach, RolloutIW, represents states with the B-PROST boolean feature set. An augmented version of RolloutIW, pi-IW, shows that learned features can

Year: 2021

Language: English

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