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20182020
most citedSPOTTER: Extending Symbolic Planning Operators through Targeted Reinforcement Learning

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

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cs.CL2019

Engaging in Dialogue about an Agent's Norms and Behaviors

Daniel Kasenberg, Antonio Roque, Ravenna Thielstrom +1

We present a set of capabilities allowing an agent planning with moral and social norms represented in temporal logic to respond to queries about its norms and behaviors in natural…

cs.CL2019

Generating Justifications for Norm-Related Agent Decisions

Daniel Kasenberg, Antonio Roque, Ravenna Thielstrom +2

We present an approach to generating natural language justifications of decisions derived from norm-based reasoning. Assuming an agent which maximally satisfies a set of rules spec…