Add best SAC model for gym_xarm/XarmLift-v0

README.md

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+---
+license: mit
+tags:
+- reinforcement-learning
+- stable-baselines3
+- sac
+- robotics
+- gymnasium
+- mujoco
+---
+
+# SB3 SAC on gym_xarm/XarmLift-v0
+
+This repository contains a Stable-Baselines3 SAC policy trained on `gym_xarm/XarmLift-v0`.
+
+## Files
+- `best_model.zip` / `final_model.zip`: SB3 model checkpoint (policy + critics).
+- `vecnormalize.pkl`: VecNormalize statistics (required for correct inference).
+- `metadata.txt`: simple metadata about the run.
+
+## Inference (important)
+You must load the VecNormalize stats before running inference.
+
+Example (pseudo):
+1) Create env (same wrappers).
+2) Load VecNormalize with `VecNormalize.load(...)`.
+3) Load model with `SAC.load(...)` and set env.