- DRL領域中文介紹
- Introduction openAI Blog
- Introduction openAI Github
- openAI github
- MorvanZhou github
- C++ reinforce
- C++ reinforce blog
- C++ reinforce blog 中文
- DQN教學
- Standford 教學
- DeepMind 2013中文講解
- 近期導航paper介紹1
- Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updates. [GoogleBrain DeepMind Berkeley 2016]
- Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning and Large-Scale Data Collection. [Google 2016]
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Playing Atari with Deep Reinforcement Learning [Volodymyr Mnih et al., 2013]
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Human Level Control through Deep Reinforcement Learning [Volodymyr Mnih et al., 2015]
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Playing Doom with SLAM-Augmented Deep Reinforcement Learning [Oxford 2016]
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Learning to Navigate in Complex Environments [DeepMind 2017]
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Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving [Mobileye 2016]
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Virtual-to-real Deep Reinforcement Learning: Continuous Control of Mobile Robots for Mapless Navigation [香港科大 2017]
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Neural SLAM: Learning to Explore with External Memory [香港科大 2017]
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Toward Low-Flying Autonomous MAV Trail Navigation using Deep Neural Networks for Environmental Awareness [Nvidia 2017]