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cs.LG2022
Data Valuation for Offline Reinforcement Learning
Amir Abolfazli, Gregory Palmer, Daniel Kudenko
The success of deep reinforcement learning (DRL) hinges on the availability of training data, which is typically obtained via a large number of environment interactions. In many re…
cs.LG2022
Identifying Cause-and-Effect Relationships of Manufacturing Errors using Sequence-to-Sequence Learning
Jeff Reimer, Yandong Wang, Sofiane Laridi +3
In car-body production the pre-formed sheet metal parts of the body are assembled on fully-automated production lines. The body passes through multiple stations in succession, and…