The paper surveys CRL literature, proposes a taxonomy of methods into four categories based on knowledge storage and transfer, reviews metrics and benchmarks, and outlines challenges and future research directions.
Human-level control through deep reinforcement learning,
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Iterative temporal differencing with fixed random synaptic feedback can replace the activation function derivative in error backpropagation.
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A Survey of Continual Reinforcement Learning
The paper surveys CRL literature, proposes a taxonomy of methods into four categories based on knowledge storage and transfer, reviews metrics and benchmarks, and outlines challenges and future research directions.
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Iterative temporal differencing with random synaptic feedback weights support error backpropagation for deep learning
Iterative temporal differencing with fixed random synaptic feedback can replace the activation function derivative in error backpropagation.