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Max Bennett (on the history of intelligence)
Armchair Expert with Dax Shepard
Mastering Complexity: The Credit Assignment Challenge
Reinforcement learning involves training systems to learn from feedback, but challenges arise in pinpointing which actions lead to success, known as the problem of temporal credit assignment. This issue manifests clearly in complex games like chess, where multiple moves contribute to the outcome, complicating the task of identifying which specific moves were pivotal to winning. The inherent difficulty lies in the multifaceted nature of gameplay, where both good and bad moves may interweave to affect results, illustrating the complexity of extracting meaningful insights from actions over time.
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