Reinforcement Learning
ml-agents
TensorBoard
ONNX
Pyramids
deep-reinforcement-learning
ML-Agents-Pyramids
Instructions to use AnnaMats/ppo-Pyramids-Training with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use AnnaMats/ppo-Pyramids-Training with ml-agents:
mlagents-load-from-hf --repo-id="AnnaMats/ppo-Pyramids-Training" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
ppo-Pyramids-Training / ml-agents-plugin-examples /mlagents_plugin_examples /example_stats_writer.py
| from typing import Dict, List | |
| from mlagents.trainers.settings import RunOptions | |
| from mlagents.trainers.stats import StatsWriter, StatsSummary | |
| class ExampleStatsWriter(StatsWriter): | |
| """ | |
| Example implementation of the StatsWriter abstract class. | |
| This doesn't do anything interesting, just prints the stats that it gets. | |
| """ | |
| def write_stats( | |
| self, category: str, values: Dict[str, StatsSummary], step: int | |
| ) -> None: | |
| print(f"ExampleStatsWriter category: {category} values: {values}") | |
| def get_example_stats_writer(run_options: RunOptions) -> List[StatsWriter]: | |
| """ | |
| Registration function. This is referenced in setup.py and will | |
| be called by mlagents-learn when it starts to determine the | |
| list of StatsWriters to use. | |
| It must return a list of StatsWriters. | |
| """ | |
| print("Creating a new stats writer! This is so exciting!") | |
| return [ExampleStatsWriter()] | |