Self-Supervised Discovering of Interpretable Features for Reinforcement Learning

Wenjie Shi
Wenjie Shi
Zhuoyuan Wang
Zhuoyuan Wang
Tingyu Lin
Tingyu Lin

IEEE transactions on pattern analysis and machine intelligence, pp. 1-1, 2020.

Cited by: 6|Views15
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Abstract:

Deep reinforcement learning (RL) has recently led to many breakthroughs on a range of complex control tasks. However, the decision-making process is generally not transparent. The lack of interpretability hinders the applicability in safety-critical scenarios. While several methods have attempted to interpret vision-based RL, most come wi...More

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