Creativity in Science

Related lectures (29)

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Explores the historical perspective and development of the AlphaGo algorithm, focusing on machine learning and game strategies.

Explores different chess positions and historical battle tactics, ending with a musical performance.

Explores different chess positions and strategic gameplay, accompanied by musical interpretations of library books.

Explores multistage games, focusing on extensive form and feedback strategies, including Nash equilibria and backward induction methods.

Covers Deep Q-learning in deep neural networks, its application in games, backpropagation, Q-values, and V-values.

Explores evaluation methods, raising numbers to a power, chess game origins, and compound interest calculations.

Covers learning by rewards in deep reinforcement learning without math details.

Explores the shift to deep reinforcement learning through neural networks for direct policy learning, bypassing Q-values and V-values.

Explores business opportunity identification, factors affecting recognition, idea generation, and tools for supporting creativity.

Explores how analogies drive innovation and the challenges of finding analogies in large datasets to automatically discover analogies.