#Stanford Seminar - NVIDIA GPU Computing: A Journey from PC Gaming to Deep Learning http://goo.gl/TSeNK7 all video:http://goo.gl/rbEwSj
#weekend_read
Paper-Title: Safe Reinforcement Learning with Scene Decomposition for Navigating Complex Urban Environments
Link to the paper: https://arxiv.org/pdf/1904.11483.pdf
#Stanford #HRI
TL;DR: [1] They presented a decision-making framework for autonomously navigating urban intersections.
[2] Secondly, they introduced a learned belief updater that uses an ensemble of RNNs to estimate the location of vehicles behind obstacles and is robust to perception errors.
[3] Further they improved upon pure reinforcement learning methods by using a model checker to enforce safety guarantees.
[4] Finally, through a scene decomposition method they demonstrated how to efficiently scale the algorithm to scenarios with multiple cars and pedestrians.
Paper-Title: Safe Reinforcement Learning with Scene Decomposition for Navigating Complex Urban Environments
Link to the paper: https://arxiv.org/pdf/1904.11483.pdf
#Stanford #HRI
TL;DR: [1] They presented a decision-making framework for autonomously navigating urban intersections.
[2] Secondly, they introduced a learned belief updater that uses an ensemble of RNNs to estimate the location of vehicles behind obstacles and is robust to perception errors.
[3] Further they improved upon pure reinforcement learning methods by using a model checker to enforce safety guarantees.
[4] Finally, through a scene decomposition method they demonstrated how to efficiently scale the algorithm to scenarios with multiple cars and pedestrians.
Data-driven algorithm design, reducing machine learning bias with truncated statistics, and the regularization effect of initial large learning rates—take a deep dive into these topics with Machine Learning Dept. at Carnegie Mellon University’s Nina Balcan, #MIT’s Costis Daskalakis, and #Stanford’s Tengyu Ma: via Microsoft Research
https://www.microsoft.com/en-us/research/video/ai-institute-geometry-of-deep-learning-2019-day-2-session-2/?OCID=msr_video_mlbias_aiinst_fb
https://www.microsoft.com/en-us/research/video/ai-institute-geometry-of-deep-learning-2019-day-2-session-2/?OCID=msr_video_mlbias_aiinst_fb
Microsoft Research
AI Institute "Geometry of Deep Learning" 2019 [Day 2 | Session 2] - Microsoft Research
Deep learning is transforming the field of artificial intelligence, yet it is lacking solid theoretical underpinnings. This state of affair significantly hinders further progress, as exemplified by time-consuming hyperparameters optimization, or the extraordinary…