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8/15-16/24 : I am curently trying to improve the SpaceInvaders

DQN algorithm to reach a score above 200 within a limited

processing time (1 hr GPU, 3 hrs CPU, max 500000 timesteps).

I am open to hyperparameters/referrals/suggestions! Thanks :)

Just search for electricwapiti/dqn-SpaceInvadersNoFrameskip-v4











ppo Agent playing Huggy

This is a trained model of a ppo agent playing Huggy using the Unity ML-Agents Library.

Usage (with ML-Agents)

The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/

We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:

Resume the training

mlagents-learn <your_configuration_file_path.yaml> --run-id=<run_id> --resume

Watch your Agent play

You can watch your agent playing directly in your browser

  1. If the environment is part of ML-Agents official environments, go to https://huggingface.co/unity
  2. Step 1: Find your model_id: electricwapiti/ppo-Huggy
  3. Step 2: Select your .nn /.onnx file
  4. Click on Watch the agent play ๐Ÿ‘€
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