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A frozen graph backbone effectively preserves past structural knowledge in continual multi-agent reinforcement learning, dramatically reducing forgetting and boosting transfer across tasks with distinct graph structures.
Longer context windows in time series forecasting aren't just about capturing dependencies鈥攖hey're essential for reducing uncertainty in the underlying generative processes.