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.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
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.