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Verbal Explanations for Deep Reinforcement Learning Neural Networks with Attention on Extracted Features

Wang, Xinzhi and Yuan, Shengcheng and Zhang, Hui and Lewis, Michael and Sycara, Katia (2019) Verbal Explanations for Deep Reinforcement Learning Neural Networks with Attention on Extracted Features. In: 2019 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), October, Macau.

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Abstract

In recent years, there has been increasing interest in transparency in Deep Neural Networks. Most of the works on transparency have been done for image classification. In this paper, we report on work of transparency in Deep Reinforcement Learning Networks (DRLNs). Such networks have been extremely successful in learning action control in Atari games. In this paper, we focus on generating verbal (natural language) descriptions and explanations of deep reinforcement learning policies. Successful generation of verbal explanations would allow better understanding by people (e.g., users, debuggers) of the inner workings of DRLNs which could ultimately increase trust in these systems. We present a generation model which consists of three parts: an encoder on feature extraction, an attention structure on selecting features from the output of the encoder, and a decoder on generating the explanation in natural language. Four variants of the attention structure full attention, global attention, adaptive attention and object attention - are designed and compared. The adaptive attention structure performs the best among all the variants, even though the object attention structure is given additional information on object locations. Additionally, our experiment results showed that the proposed encoder outperforms two baseline encoders (Resnet and VGG) on the capability of distinguishing the game state images.


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Details

Item Type: Conference or Workshop Item (Paper)
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Wang, Xinzhi
Yuan, Shengcheng
Zhang, Hui
Lewis, Michaelcmlewis@pitt.educmlewis0000-0002-1013-9482
Sycara, Katiakatia@cs.cmu.edu
Date: October 2019
Date Type: Publication
Journal or Publication Title: 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)
Publisher: IEEE
Page Range: pp. 1-7
Event Title: 2019 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)
Event Dates: October
Event Type: Conference
Refereed: Yes
Date Deposited: 15 Jun 2020 14:19
Last Modified: 15 Jun 2020 14:19
URI: http://d-scholarship.pitt.edu/id/eprint/39102

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