Intelligence and Reinforcement Learning
Francois emphasizes intelligence as an embodied process, not just a brain function. Tom defends reinforcement learning as a foundation for intelligence, highlighting the importance of pattern recognition and efficient information usage in complex problem-solving. David Silver's perspective on reward as the key element in capturing intelligence sparks a discussion on the current limitations in problem formulation.In this clip
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Machine Learning Street Talk (MLST)
#49 - Meta-Gradients in RL - Dr. Tom Zahavy (DeepMind)
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