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Toward high-performance, memory-efficient, and fast reinforcement learning-Lessons from decision neuroscience
Jee Hang Lee1,2, Ben Seymour3,4,5, Joel Z Leibo6
1Department of Bio and Brain Engineering, KAIST, Daejeon, Republic of Korea.
Abstract:
Recent insights from decision neuroscience raise hope for the development of intelligent brain-inspired solutions to robot learning in real dynamic environments full of noise and unpredictability.
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