Contrastive Learning Methods for Deep Reinforcement Learning

Contrastive Learning Methods for Deep Reinforcement Learning

Deep reinforcement learning (DRL) has shown promising performance in various application areas (e.g., games and autonomous vehicles). Experience replay buffer strategy and parallel learning strategy are widely used to boost the performances of offline and online deep reinforcement learning algorithm...

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Bibliographic Details
Main Authors: Di Wang, Mengqi Hu
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Contrastive learning
deep reinforcement learning
different-age experience
experience replay buffer
parallel learning
Online Access:https://ieeexplore.ieee.org/document/10242114/

Internet

https://ieeexplore.ieee.org/document/10242114/

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