Interaction-Grounded Learning with Action-Inclusive Feedback

Neural Information Processing Systems 

Prior analyzed approaches fail when the feedback vector contains the action, which significantly limits IGL's success in many potential scenarios such as Brain-computer interface (BCI) or Human-computer interface (HCI) applications.

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