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10/24/21: An Extensible and Modular Design and Implementation of Monte Carlo Tree Search for the JVM with Larkin Liu & Jun Tao Luo
10/24/21: An Extensible and Modular Design and Implementation of Monte Carlo Tree Search for the JVM with Larkin Liu & Jun Tao Luo
ratings:
Length:
66 minutes
Released:
Oct 24, 2021
Format:
Podcast episode
Description
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
- 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
Released:
Oct 24, 2021
Format:
Podcast episode
Titles in the series (53)
09/12/21: More Category Theory for More Cybernetics with Matteo Capucci by Boston Computation Club