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poca-SoccerTwos – AI Model by hishamcse | AlphaNeural AI
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hishamcse
/
poca-SoccerTwos
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ml-agents
tensorboard
onnx
SoccerTwos
deep-reinforcement-learning
reinforcement-learning
ML-Agents-SoccerTwos
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Deploy
poca
Agent playing
SoccerTwos
This is a trained model of a
poca
agent playing
SoccerTwos
using the
Unity ML-Agents Library
.
Codes
Github repos(Give a star if found useful):
https://github.com/hishamcse/Advanced-DRL-Renegades-Game-Bots
https://github.com/hishamcse/DRL-Renegades-Game-Bots
https://github.com/hishamcse/Robo-Chess
Kaggle Notebook:
https://www.kaggle.com/code/syedjarullahhisham/drl-huggingface-unit-7-marl-soccer-2vs2
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:
A
short tutorial
where you teach Huggy the Dog 🐶 to fetch the stick and then play with him directly in your browser:
https://huggingface.co/learn/deep-rl-course/unitbonus1/introduction
A
longer tutorial
to understand how works ML-Agents:
https://huggingface.co/learn/deep-rl-course/unit5/introduction
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
If the environment is part of ML-Agents official environments, go to
https://huggingface.co/unity
Step 1: Find your model_id: hishamcse/poca-SoccerTwos
Step 2: Select your
.nn /
.onnx file
Click on Watch the agent play 👀
