44 - Deep Learning - Reinforcement Learning Part 4 [ID:17707]
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00:09:06 Min
Aufnahmedatum
2020-06-13
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2020-06-14 00:06:42
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en-US
Deep Learning - Reinforcement Learning Part 4
This video discusses several other solution approaches to learning games such as Monte Carlo Techniques, Temporal Difference Learning, Q Learning, and learning universal function approximators for reinforcement learning using the policy gradient.
Video References:
Sonic the Hedgehog
Further Reading:
A gentle Introduction to Deep Learning
Tags
Optimization
loss
Universal Approximation Theorem
artificial intelligence
deep learning
reinforcement learning
monte carlo techniques
policy gradient
temporal difference learning