Fast and Safe Policy Adaptation via Alignment-based Transfer
Applying deep reinforcement learning to physical systems, as opposed to learning in simulation, presents additional challenges in terms of sample efficiency ...
In spring 2018, I joined LARR (formerly known as ICSL) under the supervision of Prof. H. Jin Kim at Seoul National University.
My research interests are at the intersection of Reinforcement Learning, Machine Learning and Robotics. I am collaborating with J. Hyeon Park, Daesol Cho and Seungjae Lee.
Recent posts
Python virtual environments
Python virtual environments are useful for managing dependencies between different projects. Below are some tips and tricks for virtualenv (venv) and Conda w...
Misclassified type 1 AGNs in the local universe
We search for misclassified type 1 AGNs among type 2 AGNs identified with emission line flux ratios, and investigate the properties of the sample. Using 4,11...