Transfer of Hierarchical Reinforcement Learning Structures for Robotic Manipulation Tasks

2020 International Conference on Computational Science and Computational Intelligence (CSCI)(2020)

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摘要
While it is apparent that the transfer of knowledge between tasks is beneficial for training efficiency, the application of trained deep reinforcement learning agents to solve new tasks is not trivial. Especially when tasks are differently structured, retraining and fine tuning is not necessarily beneficial. Instead, it is often the most convenient approach to train a new agent from scratch. One p...
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关键词
Training,Service robots,Scientific computing,Reinforcement learning,Indexes,Task analysis,Tuning
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