I am a visiting scholar at the Robotic AI and Learning Lab (RAIL) at the University of California, Berkeley, working with Sergey Levine and Tuomas Haarnoja on model-free reinforcement learning. I currently enjoy developing new reinforcement algorithms and applying reinforcement learning methods to real-world robotic tasks. I highly respect elegant, scalable, and reusable (open-source) software. Prior to joining RAIL, I received a Master's degree in Computer Science from Aalto University in Finland and worked at a small three-man startup, Statwing, which was later acquired by Qualtrics.
Kristian Hartikainen
Berkeley, CAUnited States
Education
M.Sc. Computer Science (5.0/5.0)
Aalto University Espoo, FinlandSoftware technology, machine learning
Thesis: Performance Analysis of Packet Processing Systems (with distinction)
B.Sc. Computer Science
Aalto University Espoo, FinlandSoftware technology, industrial management
Thesis: Methods for Adaptive User Interfaces (with distinction)
Publications
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Tuomas Haarnoja*, Aurick Zhou*, Kristian Hartikainen*, George Tucker, Sehoon Ha, Jie Tan, Vikash Kumar, Henry Zhu, Abhishek Gupta, Pieter Abbeel, and Sergey Levine. Soft Actor-Critic Algorithms and Applications. arXiv preprint arXiv:1812.05905. 2018.
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Tuomas Haarnoja*, Kristian Hartikainen*, Pieter Abbeel, and Sergey Levine. Latent Space Policies for Hierarchical Reinforcement Learning. International Conference on Machine Learning (ICML). 2018.
paper | videos | code