What is Reinforcement Learning Security?

Reinforcement Learning Security (RLS) is the set of methods, controls, and assurance practices that protect reinforcement learning systems, policies, and training processes from attacks, misuse, and unsafe behavior across their lifecycle. Expanded Explanation 1. Technical Function and Core Characteristics RLS focuses on threats that target the interaction loop among agent, environment, reward signal, and policy optimization. It addresses attacks on training data, reward functions, model

Reinforcement Learning Security (RLS)

Last updated August 24, 2026

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