Noise, overestimation and exploration in Deep Reinforcement Learning

25 Jun 2020 Rafael Stekolshchik

We will discuss some statistical noise related phenomena, that were investigated by different authors in the framework of Deep Reinforcement Learning algorithms. The following algorithms are touched: DQN, Double DQN, DDPG, TD3, Hill-Climbing... (read more)

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