Multi-Reward Reinforcement Learning for LLM Agents: Comparing PPO, GRPO, DAPO, and GDPO
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New empirical follow-up: Part 2 compares seven trainer configurations on Qwen3-14B and our DEX gym , with no-think and thinking holdouts, interactive reward curves, and downloadable data. It is a separate experiment from the 27B table below and does not establish a universal trainer ranking. If you…
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- 2026-09-25 22:50 · DEV Community — Machine Learning
Multi-Reward Reinforcement Learning for LLM Agents: Comparing PPO, GRPO, DAPO, and GDPO