Epstein Secrets

to learn procedures that will maxi- mize some Goal whose Truth Value is estimated via an expected reward calculation (where "reward" may mean simply the Truth Value of some Atom defined as "reward"). Goal-driven learning is more general than reinforcement learning as thus defined; and the learning that CogPrime does, which

FTA00624680 534 A Glossary Sch06. .1. Schmidhuber. Code! machines: Fully Self-referential Optimal Universal Self-improvers. In B. Go- ertzel and C. Pennachin, editors, Artificial General Intelligence, pages 119-226. 2006. SDCCK08a. Steven Schockaert, Martine De Cock. Chris Cornelis, and Etienne E. Kerne.

to learn procedures that will maxi- mize some Goal whose Truth Value is estimated via an expected reward calculation (where "reward" may mean simply the Truth Value of some Atom defined as "reward"). Goal-driven learning is more general than reinforcement learning as thus defined; and the learning that CogPrime does, which

EFTA00624125 350 A Glossary Sch06. J. Schmidhuber. Godel machines: Ashy Self-referential Optimal Universal Self-improvers. In B. Goertzel and C. Pennachin, editors, Artificial General Intelligence, pages 119-226. 2006. Sch07. Dale Schunk. Theories of Learning: An Educational Perspective. Prentice Hall

to learn procedures that will maxi- mize some Goal whose Truth Value is estimated via an expected reward calculation (where *reward” may mean simply the Truth Value of some Atom defined as ”reward”). Goal-driven learning is more general than reinforcement learning as thus defined; and the learning that CogPrime does, which is

_OVERSIGHT_013265 350 A Glossary Sch06. J. Schmidhuber. Godel machines: Fully Self-referential Optimal Universal Self-improvers. In B. Goertzel and C. Pennachin, editors, Artificial General Intelligence, pages 119-226. 2006. SchO7. Dale Schunk. Theories of Learning: An Educational Perspective. Prentice Hall,