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
| from setuptools import setup | |
| from mlagents.plugins import ML_AGENTS_TRAINER_TYPE | |
| setup( | |
| name="mlagents_trainer_plugin", | |
| version="0.0.1", | |
| # Example of how to add your own registration functions that will be called | |
| # by mlagents-learn. | |
| # | |
| # Here, the get_example_stats_writer() function in mlagents_plugin_examples/example_stats_writer.py | |
| # will get registered with the ML_AGENTS_STATS_WRITER plugin interface. | |
| entry_points={ | |
| ML_AGENTS_TRAINER_TYPE: [ | |
| "a2c=mlagents_trainer_plugin.a2c.a2c_trainer:get_type_and_setting", | |
| "dqn=mlagents_trainer_plugin.dqn.dqn_trainer:get_type_and_setting", | |
| ] | |
| }, | |
| ) | |