AI article
Multi-Reward Reinforcement Learning for LLM Agents: Comparing PPO, GRPO, DAPO, and GDPO
Community description: GDPO vs GRPO, DAPO and PPO for multi-reward agent post-training: normalization math, scale dominance, reward collapse, and benchmark results.
Dev.to | Sep 25, 2026 | Aleksei Romanov
Automated excerpt
The Mathematics of Scale Dominance: Why Simple Sums Fail Channel 1 (Task Success) is binary: r₁ ∈ {0, 1}. Channel 2 (Token Efficiency) is small: r₂ ∈ [0, 0. 05]. When GRPO divides by σR, Channel 2 is effectively multiplied by zero.
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