parachutel/Q-Learning-for-Intelligent-Driver

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parachutel/Q-Learning-for-Intelligent-Driver

parachutel

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We propose a driver modeling process of an intelligent autonomous driving policy, which is obtained through Q-learning.

cs224n-stanford-winter2021

Stanford Winter 2021

deeplabv3plus_on_Mapillary_Vistas

Semantic Segmentation on the Mapillary Vistas Dataset

Jupyter Notebook

CoordinationGraphMARL

bayes-by-backprop

Implementing Bayes by Backprop with PyTorch. Applied on time-series prediction.

DeepCorrectionCAS

Deep Corrections through DQN for Collision Avoidance Systems

Jupyter Notebook

DICG

Deep Implicit Coordination Graphs for Multi-agent Reinforcement Learning

gym

My own edition of OpenAI gym

traj_prediction