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Recent Frontier Works (2019.09.23 Update)
Model-based Learning
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九轴传感器
九轴传感器
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Reinforcement Learning for Real-World Robotics
Ideas from the literature on RL for real-world robot control
Author: Or Rivlin
Date: Aug. 1, 2019
From: https://towardsdatascience.com/reinforcement-learning-for-real-world-robotics-148c81dbdcff
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Model Based Policy Optimization
Reviewing recent advances in model-based reinforcement learning
Author: Or Rivlin
Date: Aug. 1, 2019
From: https://towardsdatascience.com/model-based-policy-optimization-d7e099c73d8
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Inputs and Outputs to Prediction
A prediction module uses a map and data from sensor fusion to generate predictions for what all other dynamic objects in view are likely to do. To make this clearer, let’s look at an example (in json format) of what the input to and output from prediction might look like....
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Data Driven and Model Based Approaches for Prediction
1. Data-Driven Approaches
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Python vs. C++ 高斯分布例子
本文主要比较 Python 和 C++ 在编写类(class)时候的不同。
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探秘：腾讯AI Lab
相关报道
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使用CppAD和Ipopt的非线性规划：示例和测试
Purpose
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Spinning Up Workshop - Hackathon Project Recommendations
During the free-hacking period, you’re welcome to work on anything you like! But we strongly encourage you to work on something related to AI or deep reinforcement learning, to help you take what you’ve learned from the lecture materials and put it into practice. To help you get started, we’ve...
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From Q-Learning to DQN
Table of Contents
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9 Tips For Training Lightning-Fast Neural Networks In Pytorch
OpenAI - Requests for Research 2.0
Author: OpenAI
Date: Jan. 31, 2018
From: https://openai.com/blog/requests-for-research-2/
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职业技能需求系列之：自动驾驶
目录
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