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Krzysztof kuhy Rudnicki
9576b25315
git-subtree-dir: Programming/USD git-subtree-mainline:7cf25fc048git-subtree-split:b10db883f2
48 lines
1.1 KiB
Markdown
48 lines
1.1 KiB
Markdown
# USD
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## Task:
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Zapoznaj się z [MetaDrive](https://github.com/metadriverse/metadrive/). Wytrenuj co najmniej dwóch różnych agentów
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wykorzystując algorytmy **wieloagentowe** (MA), na co
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najmniej trzech różnych mapach. Omów otrzymane wyniki oraz zwizualizuj działanie
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wytrenowanych agentów.
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## Setup
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```
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conda create -n copo python=3.7
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conda activate copo
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# Install MetaDrive version 0.2.5
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pip install git+https://github.com/metadriverse/metadrive.git@releases/0.2.5
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pip install torch
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git clone https://github.com/decisionforce/CoPO
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cd CoPO/copo_code
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pip install -e .
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pip install -U ray==1.2.0 "ray[rllib]==1.2.0"
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pip install -U "numpy<1.19.0"
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pip uninstall opencv-python
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pip uninstall opencv-python-headless
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pip install opencv-python==4.5.5.64
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pip install pydantic==1.9.0
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```
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## How to train a RL agents
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```
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cd CoPo/copo_code/copo/
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python train_all_cl.py --exp-name my_cl
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```
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Training process 4.7h
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```
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python train_all_ippo.py --exp-name my_ippo
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```
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Training process 7.3h
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## How to evaluate
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```
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python eval.py --root my_cl
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python eval.py --root my_ippo
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``` |