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4. Attention-Based Curiosity-Driven Exploration In Deep Reinforcement Learning

Attention-Based Curiosity-Driven Exploration In Deep Reinforcement Learning

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IEEE ICASSP 2020 Virtual Conference May 2020

Reinforcement Learning enables to train an agent via interaction with the environment. However, in the majority of real-world scenarios, the extrinsic feedback is sparse or not sufficient, thus intrinsic reward formulations are needed to successfully trai

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Attention-Based Curiosity-Driven Exploration In Deep Reinforcement Learning

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Reinforcement Learning enables to train an agent via interaction with the environment. However, in the majority of real-world scenarios, the extrinsic feedback is sparse or not sufficient, thus intrinsic reward formulations are needed to successfully trai