Aug 13, 2021 · We propose a Trustworthy Decision-Making (TDM) framework, which integrates symbolic planning into sequential decision-making.

Abstract—Human-robot interactive decision-making is increas- ingly becoming ubiquitous, and trust is an influential factor in.

A Trustworthy Decision-Making (TDM) framework is proposed, which integrates symbolic planning into sequential decision-making and enables the subtask-level ...

TDM enables the subtask-level interpretability by design and converges to an optimal symbolic plan from the learned subtasks. Moreover, a TDM-based algorithm is ...

TDM enables the subtask-level interpretability by design and converges to an optimal symbolic plan from the learned subtasks. Moreover, a TDM-based algorithm is ...

TDM enables the subtask-level interpretability by design and converges to an optimal symbolic plan from the learned subtasks. Moreover, a TDM-based algorithm is ...

"TDM: Trustworthy Decision-Making Via Interpretability Enhancement". IEEE Transactions on Emerging Topics in Computational Intelligence (). Country unknown/Code ...

Co-authors ; TDM: Trustworthy Decision-Making Via Interpretability Enhancement. D Lyu, F Yang, H Kwon, W Dong, L Yilmaz, B Liu. IEEE Transactions on Emerging ...

TDM: Trustworthy Decision-Making via Interpretability Enhancement. Daoming Lyu, Fangkai Yang, Hugh Kwon, Wen Dong, Levent Yilmaz, B. Liu

Tdm: trustworthy decision-making via interpretability enhancement. D Lyu, F Yang, H Kwon, W Dong, L Yilmaz, B Liu. IEEE Transactions on Emerging Topics in ...