18 citations · 25 across the 9 of their papers we have counts for
Showing 2021 · cs.LGShow all
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cs.LG2021
Inverse Reinforcement Learning for Strategy Identification
Mark Rucker, Stephen Adams, Roy Hayes +1
In adversarial environments, one side could gain an advantage by identifying the opponent's strategy. For example, in combat games, if an opponents strategy is identified as overly…
cs.LG2021★ 3 cited
A Systems Theory of Transfer Learning
Tyler Cody, Peter A. Beling
Existing frameworks for transfer learning are incomplete from a systems theoretic perspective. They place emphasis on notions of domain and task, and neglect notions of structure a…
cs.LG2021★ 18 cited
Empirically Measuring Transfer Distance for System Design and Operation
Tyler Cody, Stephen Adams, Peter A. Beling
Classical machine learning approaches are sensitive to non-stationarity. Transfer learning can address non-stationarity by sharing knowledge from one system to another, however, in…