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Mobile Robots Exploration via Deep Reinforcement Learning

2020-12-14 · CUHK Course IERG5350 2020 12 · Han Ma, Peng Xu

n this paper, we try to solve the mobile robot exploration problem in a 2D indoor office environment by deep reinforcement learning. Finally, we find that PPO with Convolutional Neural Network (CNN) and Dense layers converge well in our problem. The video link of our current work is here.

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Deep Reinforcement Learningreinforcement-learningReinforcement LearningReinforcement Learning (RL)

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PPO Proximal Policy Optimization, or PPO, is a policy gradient method for reinforcement learning. The motivation was to have an algorithm with the data efficiency and reliable…

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