Policy Gradient Explained | How AI Learns by Maximizing Expected Return
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Policy Gradient Explained | How AI Learns by Maximizing Expected Return
In this tutorial, we dive into one of the core foundations behind modern reinforcement learning algorithms: Policy Gradient. If you’re learning TD3 (Twin Delayed DDPG), this concept is essential. While TD3 learns Q-values using Q-learning, it simultaneously learns the policy directly by updating the neural network weights to maximise the ...
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