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This work introduces market signal injection (MSI), an attack that manipulates numerical formatting, competitor ordering, or qualitative market commentary without issuing explicit instructions to motivate defenses that account for interactions among agents.
Adaptive imagination can transform limited target data into reliable rollouts, enabling robust sim-to-real transfer in visual reinforcement learning.
Recovering the exact architecture of a trained neural network after randomly shuffling its layers is possible, revealing inherent structural information retained within the weights.