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Results tagged with q-learning
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user 78383
For questions related to the Q-learning algorithm, which is a model-free and temporal-difference reinforcement learning algorithm that attempts to approximate the Q function, which is a function that, given a state s and an action a, returns a real number that represents the return (or value) of state s when action a is taken from s. Q-learning was introduced in the PhD thesis "Learning from Delayed Rewards" (1989) by Watkins.
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Why slow-changing policy invalidates Double DQN approach in TD3 paper?
In the paper describing TD3 (https://arxiv.org/abs/1802.09477), the authors say that they could not effectively address the Q-learning overestimation bias by using different networks for maximizing an …
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