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About me
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Published:
Various deep reinforcement learning architectures for the atari games for space invaders.
Published:
A simple, strongly typed, and fully functional C compiler.
Published:
An augmented reality coloring book using Kinect and OpenCV. Modified off of the dinsey color book project.
Published:
Deep Reinforcement Learning final project.
Published in IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017
This paper presents a method for sensor fusion to improve the robustness of pose estimation for fiducial tags.
Recommended citation: Pengju Jin, Pyry Matikainen, Siddhartha S. Srinivasa (2017). " Sensor Fusion for Fiducial Tags: Highly Robust Pose Estimation from Single Frame RGBD. " IEEE/RSJ International Conference on Intelligent Robots and Systems. http://pengjujin.github.io/files/iros_aptag.pdf
Published in Computer Science Department, Carnegie Mellon University, 2017
Master Thesis.
Recommended citation: Pengju Jin (2017). " Uncertainty Adaptation in Robot Perception and Learning." http://pengjujin.github.io/files/thesis.pdf
Undergraduate course, Carnegie Mellon University, CSD, 2015
TA for Introduction to Computer Systems (15-213)
Undergraduate course, Carnegie Mellon University, RI, 2016
TA for Feedback Control Systems (16-299)