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20122023
most citedA Survey of Game Theoretic Approaches for Adversarial Machine Learning in Cybersecurity Tasks

53 citations · 85 across the 10 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

cs.LG2023

Divide and Repair: Using Options to Improve Performance of Imitation Learning Against Adversarial Demonstrations

Prithviraj Dasgupta

We consider the problem of learning to perform a task from demonstrations given by teachers or experts, when some of the experts' demonstrations might be adversarial and demonstrat…

cs.LG2023★ 1 cited

Synthetically Generating Human-like Data for Sequential Decision Making Tasks via Reward-Shaped Imitation Learning

Bryan Brandt, Prithviraj Dasgupta

We consider the problem of synthetically generating data that can closely resemble human decisions made in the context of an interactive human-AI system like a computer game. We pr…