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genpark-ppo-clipped-surrogate-loss-evaluator-skill

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SUMMARY

Proximal Policy Optimization (PPO) clipped surrogate objective calculator with KL divergence penalty

README.md

genpark-ppo-clipped-surrogate-loss-evaluator-skill

Proximal Policy Optimization (PPO) clipped surrogate loss calculator enforcing trust-region policy updates and KL penalty terms.

Architecture

flowchart TD
    LogProbs["Logprob New & Old"] --> Ratio["Importance Ratio r(theta)"]
    Advantage["Advantage Estimate A_t"] --> Surr1["Unclipped Objective r * A"]
    Ratio --> Clip["Clip to 1 - eps .. 1 + eps"]
    Clip --> Surr2["Clipped Objective clip(r) * A"]
    Surr1 & Surr2 --> Min["Min(Surr1, Surr2)"]
    Min --> Final["PPO Policy Loss + KL Penalty"]

Features

  • Clipping Detection: Flags when updates exceed trust region threshold.
  • Pure Python: 100% standard library.

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