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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.
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.
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
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
Created:
This is the course project for machine learning. I choose to implement it in C++ for fun
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!
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.