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Progress & compress: A scalable framework for continual learning,

1 Pith paper cite this work. Polarity classification is still indexing.

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A Survey of Continual Reinforcement Learning

cs.LG · 2025-06-27 · accept · novelty 6.0

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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  • A Survey of Continual Reinforcement Learning cs.LG · 2025-06-27 · accept · none · ref 74

    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.