Policy Learning for Motor Skills (2008)
Peters, J., Schaal, S., Ishikawa, M., Doya, K., Miyamoto, H., Yamakawa, T.
Policy learning which allows autonomous robots to adapt to novel situations has been a long standing vision of robotics, artificial intelligence, and cognitive sciences. However, to date, learning...
Humans Can Adopt Optimal Discounting Strategy under Real-Time Constraints (2006)
N. Schweighofer, K. Shishida, C. E. Han, Y. Okamoto, S. C. Tanaka, S. Yamawaki, ...
Critical to our many daily choices between larger delayed rewards, and smaller more immediate rewards, are the shape and the steepness of the function that discounts rewards with time. Although...
Humans Can Adopt Optimal Discounting Strategy under Real-Time Constraints
Schweighofer, N, Shishida, K, Han, C. E, Okamoto, Y, Tanaka, S. C, Yamawaki, S, ...
Critical to our many daily choices between larger delayed rewards, and smaller more immediate rewards, are the shape and the steepness of the function that discounts rewards with time. Although...
Humans Can Adopt Optimal Discounting Strategy under Real-Time Constraints
Schweighofer, N, Shishida, K, Han, C. E, Okamoto, Y, Tanaka, S. C, Yamawaki, S, ...
Critical to our many daily choices between larger delayed rewards, and smaller more immediate rewards, are the shape and the steepness of the function that discounts rewards with time. Although...