2020_baseline_behavioral_cloning | Fully submittable baseline for the MineRL competition | Application Framework library
kandi X-RAY | 2020_baseline_behavioral_cloning Summary
kandi X-RAY | 2020_baseline_behavioral_cloning Summary
Fully submittable baseline for the MineRL competition. **SUBMISSION STARTER KIT HERE**:
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QUESTION
I am trying to understand various available AGL specific options that we can give in config.xml and I am referring to the link below
https://docs.automotivelinux.org/docs/en/halibut/apis_services/reference/af-main/2.2-config.xml.html
This is the sample config.xml file
...ANSWER
Answered 2020-Mar-06 at 09:48I figured out why we need this
required-api: param name="#target"
OPTIONAL(not compulsory)
It declares the name of the unit(in question it is main) requiring the listed apis. Only one instance of the param “#target” is allowed. When there is not instance of this param, it behave as if the target main was specified.
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Install 2020_baseline_behavioral_cloning
Clone the github repository or press the "Use this Template" button on GitHub! git clone https://github.com/minerllabs/competition_submission_starter_template.git
Install competition specific dependencies! Make sure you have the JDK 8 installed first! # 1. Make sure to install the JDK first # -> Go to http://minerl.io/docs/tutorials/getting_started.html # 2. Install the `minerl` package and the dependencies for the competition cd competition_submission_starter_template pip3 install -r requirements.txt
Specify your specific submission dependencies (PyTorch, Tensorflow, kittens, etc.) (Optional) Anaconda Environment. If you would like to use anaconda to manage your environment, make sure at least version 4.5.11 is required to correctly populate environment.yml (By following instructions here). Then: Create your new conda environment conda create --name minerl_challenge conda activate minerl_challenge Your code specific dependencies conda install <your-package> Pip Packages If you are using specific Python packages make sure to add them to requirements.txt! Here's an example: # requirements.txt minerl>0.2.3 matplotlib tensorflow Apt Packages If your training procedure or agent depends on specific Debian (Ubuntu, etc.) packages, add them to apt.txt.
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