Line Plot from Scientific Research

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Few-shot knowledge-recall performance on window close. The agent is trained sequentially on five selected tasks over three repeated loops, with buffer capacity limited to three tasks at a time. This configuration forces the agent to pause on each base task for 1 million steps without replay. For a and c – g , the data are calculated based on at least five trials, presented as mean ± standard deviation (μ ± σ ).
#Line Plot#Error Bars#Knowledge Recall#Window Close Task#Agent Training#Buffer Capacity#Trials#Mean#Standard Deviation
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