arXiv Machine Learning June 8, 2026 By Ke Hu, Shutong Ding, Panxin Tao, Jingya Wang, Ye Shi

GenPO++: Generative Policy Optimization with Jacobian-free Likelihood Ratios

Read the original on arXiv Machine Learning →

arXiv:2606. 06967v1 Announce Type: new Abstract: Generative policies provide expressive and multimodal action distributions, making them attractive for reinforcement learning (RL) in complex continuous-control tasks.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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