DReST training makes RL agents and LLMs neutral to trajectory lengths and useful at goals, generalizing to halve shutdown influence probability in out-of-distribution tests.
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4 Pith papers cite this work. Polarity classification is still indexing.
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Towards Shutdownable Agents: Generalizing Stochastic Choice in RL Agents and LLMs
DReST training makes RL agents and LLMs neutral to trajectory lengths and useful at goals, generalizing to halve shutdown influence probability in out-of-distribution tests.