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Reinforcement learning with prediction-based rewards
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We’ve developed Random Network Distillation (RND), a prediction-based method for encouraging reinforcement learning agents to explore their environments through curiosity, which for the first time exceeds average human performance on Montezuma’s Revenge.
Source:https://openai.com/index/reinforcement-learning-with-prediction-based-rewardsPreviousPlan online, learn offline: Efficient learning and exploration via model-based controlNextLearning complex goals with iterated amplification
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