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
File size: 922 Bytes
05c9ac2 | 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 | 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()]
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