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How does the discount factor (gamma) and memory replay work in Deep Q-learning?

Let's try to understand what actually happens when learning. You start with random values for Q(s,a), the function that estimates the reward of an action given a state s, and you then get an immediate ...
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DQN with experience history to learn from already saved - which reward should I take?

More specifically than off-policy RL, you are looking at offline reinforcement learning techniques. In offline RL, all training data is known beforehand (stationary), which is in stark contrast to the ...
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