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Tianyu Wang

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Preprint Jul 2026

Don't Mix Rewards, Mix Policies: Policy Decomposition and Optimization for Multi-Reward RL

This work proposes PRISM, a new multi-reward RL framework built upon the idea of policy-space decomposition and composition, which alleviates the potential conflict during multi-reward policy optimization, while enabling controllability during inference by flexible policy composition.

Ruiming Liang, Yinjie Zhong, Yizhen Yuan et al. · 1 citation