Reinforcement Learning
ml-agents
TensorBoard
ONNX
SnowballTarget
deep-reinforcement-learning
ML-Agents-SnowballTarget
Eval Results (legacy)
Instructions to use yojitha/ppo-SnowballTarget with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use yojitha/ppo-SnowballTarget with ml-agents:
mlagents-load-from-hf --repo-id="yojitha/ppo-SnowballTarget" --local-dir="./downloads"
- Notebooks
- Google Colab
- Kaggle
File size: 898 Bytes
6fcdbca | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 | ---
library_name: ml-agents
tags:
- SnowballTarget
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SnowballTarget
- ml-agents
model-index:
- name: ppo-SnowballTarget
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: ML-Agents-SnowballTarget
type: ML-Agents-SnowballTarget
metrics:
- type: mean_reward
value: 10.00 +/- 0.00
name: mean_reward
---
# **ppo-SnowballTarget**
Trained ML-Agents PPO agent playing SnowballTarget for Hugging Face Deep RL Course Unit 5.
This model was trained as part of the [Hugging Face Deep Reinforcement Learning Course](https://huggingface.co/learn/deep-rl-course/en/unit0/introduction).
## Model Details
- **User:** [yojitha](https://huggingface.co/yojitha)
- **Course Unit:** Unit 5a
- **Task:** Reinforcement Learning
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