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A Unifying Lens on Reward Uncertainty in RLHF
从统一视角剖析RLHF中的奖励不确定性,为强化学习与人类反馈对齐提供新见解
arXiv:2606.09073v1 Announce Type: new Abstract: Reinforcement learning from human feedback (RLHF) is bottlenecked by \emph{reward hacking}, where the …
从统一视角剖析RLHF中的奖励不确定性,为强化学习与人类反馈对齐提供新见解
arXiv:2606.09073v1 Announce Type: new Abstract: Reinforcement learning from human feedback (RLHF) is bottlenecked by \emph{reward hacking}, where the …
用奖励不确定性引导智能体自我探索,强化学习实现真正多样化的行为涌现
arXiv:2606.03962v1 Announce Type: cross Abstract: Classical reinforcement learning (RL) typically seeks a deterministic policy that maximizes the expe…