Unverified50% confidenceFactExact time
Multi-turn reinforcement learning typically relies on policy gradient algorithms such as PPO or GRPO in its implementation.
1
Sources
50%
Confidence
Long-term
Relevance
10/4/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThis project uses the PPO algorithm for reinforcement learning training.77% similarVerifiedPPO（近端策略优化）通过限制每次参数更新的幅度，在学习效率与训练稳定性之间取得平衡74% 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.74% similarUnverifiedPPO was proposed by OpenAI in 2017 and replaces TRPO's KL divergence constraint with a clipping operation that limits policy update magnitude to the interval [1-ε, 1+ε], making it one of the most widely used deep reinforcement learning algorithms today.72% similarUnverified该交互式教程为系列第二卷，第一卷讲策略梯度谱系（REINFORCE → PPO → GRPO）69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/971899API
curl https://kongchang.com/api/v1/knowledge/claims/971899MCP
get_claim(id=971899)