Voting Mechanism Acts as Sequence-Level Reward Signal in Agent RL
burny_tech · x · 2026-08-11
Discusses the role of voting mechanisms in agent reinforcement learning (RL). Voting isn't meant to explicitly diagnose and fix errors, but rather acts as a sequence-level reward signal. If an agent's output makes it easier to identify as the "spy," it receives a lower reward; if it looks like an output produced with full information, it gets a higher reward. Over many rollouts, RL shifts the policy toward the latter behavior.
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