Upload PPO drone policy + logs

README.md

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+---
+tags:
+- ppo
+- reinforcement-learning
+- swarm
+- drone
+- bittensor
+license: mit
+language:
+- en
+library_name: stable-baselines3
+---
+
+# 🚀 Swarm PPO Drone
+
+This repository contains a **Proximal Policy Optimization (PPO)** model trained for **swarm/drone control**.  
+The model was trained using **Gymnasium environments** with Stable-Baselines3 and exported for use in **Bittensor Subnet 124 (Swarm)**.
+
+---
+
+## 📂 Files
+
+- `policy.pth` – Trained PPO policy weights (PyTorch).
+- `ppo_policy.zip` – Stable-Baselines3 PPO saved model (reload with `PPO.load()`).
+- `safe_policy_meta.json` – Metadata for policy compliance.
+- `best/` – Best checkpointed model during training.
+- `eval_logs/` – Evaluation logs.
+- `tb_logs/` – TensorBoard logs.
+
+---
+
+## 🛠️ Usage
+
+### Load with Stable-Baselines3
+```python
+from stable_baselines3 import PPO
+import gymnasium as gym
+
+# Load model
+model = PPO.load("ppo_policy.zip")
+
+# Example run
+env = gym.make("CartPole-v1")
+obs, _ = env.reset()
+action, _ = model.predict(obs)
+print("Predicted action:", action)

best/best_model.zip

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eval_logs/evaluations.npz

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policy.pth

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ppo_policy.zip

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safe_policy_meta.json

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tb_logs/PPO_1/events.out.tfevents.1756478967.tantrum.1444109.0

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