The CARE formulti-task: Multi-Task Reinforcement Learning with Context-based Representations The SAC for multi-agent: Soft actor-critic algorithms and applications
conda create -n py3 python==3.6 -y
conda activate py3
cd .
pip install -r requirements.txt
cd sc2/
python run_madt_sc2.py
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Scenic Scenic is a codebase with a focus on research around attention-based models for computer vision. Scenic has been successfully used to develop c
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GSAN Introduction Code for paper GSAN: Graph Self-Attention Network for Learning Spatial-Temporal Interaction Representation in Autonomous Driving, wh
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MSc-Thesis Module: Masters Research Thesis Language: Python Grade: 75 Title: An investigation of supervised classification of therapeutic process from
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