Unverified50% confidenceFactExact time
In the GRPO algorithm, if all attempts within the same task group are all correct or all wrong, the relative advantage is zero and that task contributes nothing to training.
1
Sources
50%
Confidence
Long-term
Relevance
10/17/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedGRPO samples multiple responses to the same question and computes relative rewards within the group to estimate the baseline, eliminating the overhead of training a separate value network.72% similarUnverifiedThe core feature of GRPO is that it generates a set of candidate outputs for the same input and computes advantage values from the relative quality of this set of outputs, without needing to train an independent critic/value network as PPO does.67% similarUnverifiedThe no-information baseline refers to the performance level when the model receives no rule information, usually close to random guessing or relying on training set bias.65% similarVerifiedCompared to PPO, GRPO eliminates the value network (Critic) and directly compares rewards among samples within a group to estimate the advantage function, significantly reducing training computation costs.64% similarUnverifiedSimply stacking the number of RL tasks does not lead to better training outcomes, and unsolvable tasks instead drag down overall training quality.64% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1056463API
curl https://kongchang.com/api/v1/knowledge/claims/1056463MCP
get_claim(id=1056463)