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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
ABOUT ME
About Chenyu Yang
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Posts
Application and Algorithm of Inverse Reinforcement Learning(IRL) in self-driving car
Published:
I did some projects about self-driving car in the MSC lab UC Berkeley. Here by I summaries what I learned from this field, and briefly foreshadow what we did in the projects.
notes
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Sim-to-Real: Designing Locomotion Controller for Six-Legged Robot
Published in ieee-cyber, 2019
This is my first paper(my first shot in reinforcement learnning, and in writting papers), originally from a course project for introduction of reinforcement learning.
Dynamic Legged Manipulation of a Ball by Mini Cheetah Through Multi-Contact Optimization
Published in IROS2020, 2020
Designed controller to make mini-cheetah manipulate a ball.
Recommended citation: Chenyu Yang, Bike Zhang, Jun Zeng, Ayush Agrawal, and Koushil Sreenath. Dynamic legged manipulation of a ball by mini cheetah through multi-contact optimization. InIEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), October 2020.
Efficient Sampling-Based Maximum Entropy Inverse Reinforcement Learning With Application to Autonomous Driving
Published in IEEE Robotics and Automation Letters, 2020
Present an efficient sampling-based maximum-entropy inverse reinforcement learning (IRL) algorithm to extract what human drivers try to optimize from real traffic data.
Recommended citation: Zheng. Wu, Liting. Sun, Wei. Zhan, Chenyu. Yang and Masayoshi Tomizuka, "Efficient Sampling-Based Maximum Entropy Inverse Reinforcement Learning With Application to Autonomous Driving," in IEEE Robotics and Automation Letters, vol. 5, no. 4, pp. 5355-5362, Oct. 2020
repos
Slip Control on planar RABBIT
Created:
This is the course project for Legged Robotics, we designed a controller to prevent slipping on a slippery surface of a double legged robot
Simple NN frameWork Based on C++
Created:
This is the course project for machine learning. I choose to implement it in C++ for fun
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.