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Prediction in Intelligence: An Empirical Comparison of Off-policy Algorithms on Robots

adaptive agents and multi-agents systems, pp.332-340, (2019)

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The ability to continually make predictions about the world may be central to intelligence. Off-policy learning and general value functions (GVFs) are well-established algorithmic techniques for learning about many signals while interacting with the world. In the past couple of years, many ambitious works have used off-policy GVF learning...更多

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Banafsheh Rafiee
Banafsheh Rafiee
Sina Ghiassian
Sina Ghiassian
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