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INTRINSIC CURIOSITY IN REINFORCEMENT LEARNING BY IMPROVING NEXT STATE PREDICTION
(2020-06-03)
In Reinforcement Learning, an agent receives feedback from the environment in the form of an extrinsic reward. It learns to take actions that maximize this extrinsic reward. However, to start learning, the agent needs to ...