Multi-reward policy optimization requires a joint update that reflects both the learning signals and the intended relationships among objectives. We introduce Objective-wise Reconciled Policy Gradient (ORPG), which constructs a separate clipped policy objective for each reward and reconciles the resulting gradients int...
Shi-Cheng Fang, Yi-Wen Zhao, Wen-Bo Tian et al.· 0 citations
Applications in materials analysis, molecule design, and protein or antibody screening, together with experiments on scientific reading, idea generation, molecule generation, and antibody screening, show that SCION outperforms existing autonomous research-agent baselines, especially in decomposition, verification, refi...
Y. Zheng, Yuxin Wang, Jiahao Lu et al.· 0 citations
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