fzy111

fzy111

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MARL-scenario-generation

This project includes a series of processes for generating a library of automated driving simulation scenarios using reinforcement learning methods. We ensure that the reward function in multi-agent reinforcement learning is effective by designing a function that simulates the complexity of the scene.

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annotated_deep_learning_paper_implementations

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

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control_simulate

An open autonomous driving platform

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mrt_cmake_modules

Automated catkin project handling framework

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self_drive

基于树莓派的自动驾驶小车,利用树莓派和tensorflow实现小车在赛道的自动驾驶。(Self-driving car based on raspberry pi(tensorflow))

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