Predicting Motor Sequence Learning in Individuals With Chronic Stroke von Wadden, Katie P., Asis, Kristopher De, Mang, Cameron S., Neva, Jason L., Peters, Sue, Lakhani, Bimal, Boyd, Lara A.

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Value-aware Importance Weighting for Off-policy Reinforcement Learning von De Asis, Kristopher, Graves, Eric, Sutton, Richard S

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Per-decision Multi-step Temporal Difference Learning with Control Variates von De Asis, Kristopher, Sutton, Richard S

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Value-aware Importance Weighting for Off-policy Reinforcement Learning von De Asis, Kristopher, Graves, Eric, Sutton, Richard S

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Predicting Periodicity with Temporal Difference Learning von De Asis, Kristopher, Bennett, Brendan, Sutton, Richard S

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Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning von De Asis, Kristopher, Chan, Alan, Pitis, Silviu, Sutton, Richard S, Graves, Daniel

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Per-decision Multi-step Temporal Difference Learning with Control Variates von De Asis, Kristopher, Sutton, Richard S

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Multi-step Reinforcement Learning: A Unifying Algorithm von De Asis, Kristopher, Hernandez-Garcia, J. Fernando, Holland, G. Zacharias, Sutton, Richard S

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Predicting Periodicity with Temporal Difference Learning von De Asis, Kristopher, Bennett, Brendan, Sutton, Richard S

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Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning von De Asis, Kristopher, Chan, Alan, Pitis, Silviu, Sutton, Richard S, Graves, Daniel

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Multi-step Reinforcement Learning: A Unifying Algorithm von De Asis, Kristopher, Hernandez-Garcia, J Fernando, G Zacharias Holland, Sutton, Richard S

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