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Month: March 2021

Asynchronous Deep Reinforcement Learning

Asynchronous Deep Reinforcement Learning

Deep reinforcement learning saw an explosion in the mid 2010s due to the development of the deep q learning (DQN) algorithm. DQN’s success was driven the use of multiple innovations. Perhaps the most important being the use of experience replay for updating deep neural networks . While this was a breakthrough in the field, it isn’t without its drawbacks.. For one, it requires a non trivial amount of ram to store the million or so experiences from the agent….

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