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20222026
most citedZeroth-Order Policy Gradient for Reinforcement Learning from Human Feedback without Reward Inference

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cs.LG2026

SP3O: Reinforcement Learning from Segment Preferences without Reward Modeling

Evan Assmus, Qining Zhang, Lei Ying

Preference-based reinforcement learning (PbRL) for general stochastic MDPs often requires training a reward model. Existing reward-model-free methods are either restricted to bandi…

cs.LG2026

Efficient Federated RLHF via Zeroth-Order Policy Optimization

Deyi Wang, Qining Zhang, Lei Ying

This paper considers reinforcement learning from human feedback in a federated learning setting with resource-constrained agents, such as edge devices. We propose an efficient fede…