most citedIdentifying Reasoning Flaws in Planning-Based RL Using Tree Explanations

4 citations · 4 across the 1 of their papers we have counts for

collaborators

1 paper

cs.AI2021★ 4 cited

Identifying Reasoning Flaws in Planning-Based RL Using Tree Explanations

Kin-Ho Lam, Zhengxian Lin, Jed Irvine +5

Enabling humans to identify potential flaws in an agent's decision making is an important Explainable AI application. We consider identifying such flaws in a planning-based deep re…