Upload folder using huggingface_hub

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+replay.mp4 filter=lfs diff=lfs merge=lfs -text

PPO-Taxi-v3.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:328b262c8bf955dd38b5c7e468e10fd6fd59ec8326d986ff069d9d6c14394df6
+size 906213

README.md

@@ -0,0 +1,60 @@
+---
+tags:
+- Taxi-v3
+- reinforcement-learning
+- rl-framework
+model-index:
+- name: PPO-Taxi-v3
+  results:
+  - task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: Taxi-v3
+      type: Taxi-v3
+    metrics:
+    - type: mean_reward
+      value: 7.72 +/- 2.66
+      name: mean_reward
+      verified: false
+---
+
+
+# PPO agent playing on *Taxi-v3*
+
+This is a trained model of an agent playing on the environment *Taxi-v3*.
+The agent was trained with a PPO algorithm and evaluated for 100 episodes.
+See further agent and evaluation metadata in the according README section.
+
+
+## Import
+The Python module used for training and uploading/downloading is [rl-framework](https://github.com/alexander-zap/rl-framework).
+It is an easy-to-read, plug-and-use Reinforcement Learning framework and provides standardized interfaces
+and implementations to various Reinforcement Learning methods and environments.
+
+Also it provides connectors for the upload and download to popular model version control systems,
+including the HuggingFace Hub.
+
+## Usage
+```python
+
+from rl_framework import StableBaselinesAgent, StableBaselinesAlgorithm
+
+# Create new agent instance
+agent = StableBaselinesAgent(
+    algorithm=StableBaselinesAlgorithm.PPO
+    algorithm_parameters={
+        ...
+    },
+)
+
+# Download existing agent from HF Hub
+repository_id = "zap-thamm/PPO-Taxi-v3"
+file_name = "algorithm.zip"
+agent.download(repository_id=repository_id, filename=file_name)
+
+```
+
+Further examples can be found in the [exploration section of the rl-framework repository](https://github.com/alexander-zap/rl-framework/tree/main/exploration).
+
+        

algorithm.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:83ede117870723f677867829415ce99e86492a34da2c0648e0020fc6fc631a07
+size 905487

replay.mp4

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:413589af02714640ab8b6e69369a9a889cb2e622fbc0d11b94527fcb4129566b
+size 778530

results.json

@@ -0,0 +1 @@
+{"env_id": "Taxi-v3", "mean_reward": 7.72, "n_eval_episodes": 100, "eval_datetime": "2024-01-12T14:21:28.530891"}

system.json

@@ -0,0 +1 @@
+{"OS": "Windows-10-10.0.19045-SP0 10.0.19045", "Python": "3.10.8", "Stable-Baselines3": "2.2.1", "PyTorch": "2.1.2+cpu", "GPU Enabled": "False", "Numpy": "1.26.3", "Cloudpickle": "3.0.0", "Gymnasium": "0.29.1"}