MIT License Copyright (c) 2018 Zhiang Chen

• Papers
• Books
• Courses
• Videos
• Blogs

1. AlphaGo Nature - Mastering the game of Go with deep neural networks and tree search, 2016, Nature
   deep neural networks supervised learning reinforcement learning Monte Carlo Tree Search Monte Carlo rollout

2. DQN
   Playing Atari with Deep Reinforcement Learning, 2013, Arxiv
   Human-level control through deep reinforcement learning, 2015, Nature
   deep reinforcement learning

3. DDPG - Continuous control with deep reinforcement learning, 2015, Arxiv
   deep reinforcement learning

4. AlexNet - ImageNet Classification with Deep Convolutional Neural Networks, 2012, NIPS
   deep neural networks deep learning

5. LfD - A survey of robot learning from demonstration, 2009, Robotics and Autonomous Systems

6. AlphaGo Zero Nature - Mastering the game of Go without human knowledge, 2017, Nature
   reinforcement learning self-play multi-task network Monte Carlo Tree Search

7. ResNet - Deep Residual Learning for Image Recognition, 2015, Arxiv
   deep neural networks deep learning residual learning

8. Robot Learning by GAs - Deep Neuroevolution: Genetic Algorithms are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning, 2017, Arxiv
   genetic algorithms robot learning deep neural networks novelty search

9. Interaction Network - Interaction Networks for Learning about Objects, Relations and Physics, 2016, Arxiv
   Graph Neural Network(GNN)

10. CommNet - Learning Multiagent Communication with Backpropagation, 2016, Arxiv
    GNN multiagent learning centralized control multiagent communication network

11. Neural Relational Inference (NRI) - Neural Relational Inference for Interacting Systems, 2018, Arxiv
    GNN concrete VAE interaction inference

12. Sensor Placement - Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies, 2008, Journal of Machine Learning Research
    robotic sampling Gaussian Process mutual information modularity

13. FCN - Fully Convolutional Networks for Semantic Segmentation, 2015, Proceedings of the IEEE conference on computer vision and pattern recognition
    Semantic Segmentation deep learning

14. Mask RCNN
    Faster RCNN: Towards Real-Time Object Detection with Region Proposal Networks, 2015, Arxiv
    Mask RCNN, 2017, Arxiv
    object detection mask segmentation

15. U-Net - U-Net: Convolutional Networks for Biomedical Image Segmentation, 2015, Arxiv
    Semantic Segmentation deep learning

16. YOLO
    You only look once: Unified, real-time object detection, 2016, CVPR
    YOLO9000: Better, Faster, Stronger, 2016, Arxiv
    YOLOv3: An Incremental Improvement, 2018, Arxiv
    object detection deep learning

17. Feature Pyramid Networks
    Feature Pyramid Networks for Object Detection, 2016, Arxiv
    Focal Loss for Dense Object Detection, 2017, Arxiv
    object detection FPN RetinaNet

18. Pix2pix
    Image-to-Image Translation with Conditional Adversarial Networks, 2016, Arxiv
    conditional GAN

19. Wasserstein GAN
    Wasserstein GAN, 2017, Arxiv
    Wasserstein GAN loss functions

20. GAN and Novelty Detection
    Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery, 2017, Arxiv
    Improved Techniques for Training GANs, 2016, Arxiv
    Novelty Detection GAN Representation mapping feature matching minibatch discrimination VBN

21. UAV
    Fast, autonomous flight in GPS-denied and cluttered environments UAV System
    Geometric tracking control of a quadrotor UAV on SE(3) geometric control
    Minimum Snap Trajectory Generation and Control for Quadrotors trajectory generation
    Polynomial Trajectory Planning for Quadrotor Flight trajectory generation

22. SLAM
    OctoMap: An Efficient Probabilistic 3D Mapping Framework Based on Octrees 3D map
    ORB-SLAM: a Versatile and Accurate Monocular SLAM System monocular SLAM

1. Deep Learning Ian Goodfellow and Yoshua Bengio and Aaron Courville
2. Reinforcement Learning: An Introduction Second Edition, Richard S. Sutton and Andrew G. Barto
3. Artificial Intelligence: A Modern Approach Third Edition, Stuart Russell and Peter Norvig
4. Probabilistic Robotics Sebastian Thrun, Wolfram Burgard, and Dieter Fox

1. Computer Vision by Mubarak Shah
   computer vision feature detector optical flow SfM

1. The Role of Multi-Agent Learning in Artificial Intelligence Research at DeepMind
   game theory & AI AlphaGo multiagent AI

1. Understanding LSTM Networks, colah's blog
2. Faster RCNN (Object Detection and Classification using R-CNNs), Ankur Mohan's blog
3. From GAN to WGAN, Lil'Log

1. GTSAM: factor-graph-based optimization solver for SLAM and SAM