Madison Clark-Turner — accepted AI-conference papers

2021

Robust Behavior Cloning with Adversarial Demonstration Detection

Mostafa Hussein, Brendan Crowe, Madison Clark-Turner, Paul Gesel, Marek Petrik, Momotaz Begum

IROS 2021poster

Imitation learning (IL) frameworks in robotics typically assume that a domain expert's demonstration always contains a correct way of doing the task. Despite its theoretical convenience, this assumption has limited practical values for an IL-powered robot in real world. There are many reasons for an…

Cited by 5 Source ↗Scholar ↗

2019

Leveraging Temporal Reasoning for Policy Selection in Learning from Demonstration

Estuardo Carpio, Madison Clark-Turner, Paul Gesel, Momotaz Begum

ICRA 2019poster

High-level human activities often have rich temporal structures that determine the order in which atomic actions are executed. We propose the Temporal Context Graph (TCG), a temporal reasoning model that integrates probabilistic inference with Allen's interval algebra, to capture these temporal stru…

Cited by 2 Source ↗code ↗Scholar ↗