Download on the App Store Open In Castro
Podcast artwork

10/24/21: An Extensible and Modular Design and Implementation of Monte Carlo Tree Search for the JVM with Larkin Liu & Jun Tao Luo

Boston Computation Club

October 24, 2021

66 minutes

Larkin Liu is an operations research (OR) & machine learning (ML) specialist, currently completing a PhD in Operations Research under the advisement of Stefan Minner at the Technical University of Munich.  Today Larkin joined us to present *An Extensible and Modular Design and Implementation of Monte Carlo Tree Search for the JVM*, a recent preprint he authored with Jun Tao Luo (MS student in CS at Carnegie Mellon; also in attendance at this talk).  The paper is exactly what it sounds like, and the presentation was a lot of fun, with clear mathematical background, a solid foundation in software engineering principles, and some impressive code demos.    

- Preprint: https://arxiv.org/abs/2108.10061 

- Larkin: https://larkz.github.io/ 

- Jun: https://www.linkedin.com/in/jun-tao-luo

- Video: https://youtu.be/bVpUlJU-piA


Or Listen Elsewhere

Listen On Apple Podcasts
Listen In Pocket Casts
Listen In Overcast
Subscribe to RSS