Continual Learning

Learning new tasks sequentially without forgetting previously learned ones (also called lifelong learning). Neural networks are prone to catastrophic forgetting — updating weights for new tasks overwrites old task knowledge. Methods include: EWC (Elastic Weight Consolidation), progressive networks, memory replay, and modular architectures. Critical for real-world robot deployment where new tasks are added over time.

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