Competition_3v3snakes

Environment

Check details in Jidi Competition RLChina2021智能体竞赛

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Dependency

You need to create competition environment.

conda create -n snake1v1 python=3.6

conda activate snake1v1

pip install -r requirements.txt

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How to train rl-agent

python rl_trainer/main.py

By default-parameters, the total reward of training is shown below.

You can edit different parameters, for example

python rl_trainer/main.py --algo "bicnet" --epsilon 0.8

Baseline performance:

You can locally evaluation your model.

python evaluation_local.py --my_ai rl --opponent random

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How to test submission

You can locally test your submission. At Jidi platform, we evaluate your submission as same as run_log.py

Once you run this file, you can locally check battle logs in the folder named "logs".

For example,

python run_log.py --my_ai "random" --opponent "rl"

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Ready to submit

1. Random policy --> agent/random/submission.py
2. RL policy --> all files in agent/rl/

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Watch reply locally

1. Open reply/reply.html in any browser.
2. Load a log.
3. Reply and watch ^0^.