// Hacker Noon · 27 January 2026

Researchers Find Standard RL Optimization Loses Critical Signal in Multi-Reward Training

Standard RL methods collapse critical information when optimizing multiple rewards. GDPO fixes this by normalizing each reward independently, enabling stable, balanced multi-objective learning across tasks.

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