Hsmmaelstrom

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A more speculative but intriguing application appears in AI alignment literature. Reinforcement learning agents often use hierarchical policies (options framework, HAMs). refers to a red-team testing environment where an adversary simultaneously perturbs the agent’s perception, rewards, and allowed action primitives. The goal is to see if the agent’s high-level goals remain stable when low-level dynamics become chaotic. HSMMaelstrom