Cutting-Edge Research
Robert and Tom delve into advanced policy gradient methods and hierarchical approaches in deep learning, shedding light on self-tuning algorithms and the importance of action elimination in reinforcement learning. Tom's research emphasizes the significance of a learning system critiquing its own behavior for accelerated evolution.In this clip
From this podcast
Machine Learning Street Talk (MLST)
#49 - Meta-Gradients in RL - Dr. Tom Zahavy (DeepMind)
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