Lk8yjxpscwsxx1gnakia
Meet up

Artificial Intelligence with Monte Carlo Tree Search and Reinforcement Learning

Thursday, 13th June at CodeNode, London

This meetup was organised by Reinforcement Learning Community in June 2019

In this meetup we have a talk on Applying Monte Carlo Tree Search (MCTS) to the Protein Folding problem By Gavin Potter.

Latest Trends in Reinforcement Learning

In this talk Jin Cong Ho will share the latest developments in Reinforcement Learning algorithms like meta reinforcement learning and hierarchical multi-agent reinforcement learning.

Jin Cong Ho

Jin Cong Ho is a final year computer science student at the University of Nottingham, specializing in machine learning. He recently completed his undergraduate dissertation on multi-task reinforcement learning. His primary interest is to deploy the latest research advances in the larger production environment to create value.

Applying Monte Carlo Tree Search (MCTS) to the Protein Folding

In this meetup we have a talk on Applying Monte Carlo Tree Search (MCTS) to the Protein Folding problem By Gavin Potter.

Following on from Ali's talk on the theory of MCTS, Gavin would like to present the results of an internal hackathon on the practical issues that they found applying MCTS to predict the shape of protein molecules. This talk will provide a brief introduction to the Hydrophobic-polar protein folding model and then concentrate on the amendments they made to the MCTS algorithm to improve its performance on finding solutions to the problem.

Gavin Potter

Gavin is a mathematical psychologist who specialises in combining psychological theories together with the analysis of large datasets in order to extract new insights into people's preferences and desires. He graduated from Oxford with an Experimental Psychology degree and has spent over 20 years developing models to better understand human behaviour. He lectures widely on the subject and is a pioneer in the field of behavioural economics.

Thanks to our sponsors

Attending Members

Overview

In this meetup we have a talk on Applying Monte Carlo Tree Search (MCTS) to the Protein Folding problem By Gavin Potter.

Latest Trends in Reinforcement Learning

In this talk Jin Cong Ho will share the latest developments in Reinforcement Learning algorithms like meta reinforcement learning and hierarchical multi-agent reinforcement learning.

Jin Cong Ho

Jin Cong Ho is a final year computer science student at the University of Nottingham, specializing in machine learning. He recently completed his undergraduate dissertation on multi-task reinforcement learning. His primary interest is to deploy the latest research advances in the larger production environment to create value.

Applying Monte Carlo Tree Search (MCTS) to the Protein Folding

In this meetup we have a talk on Applying Monte Carlo Tree Search (MCTS) to the Protein Folding problem By Gavin Potter.

Following on from Ali's talk on the theory of MCTS, Gavin would like to present the results of an internal hackathon on the practical issues that they found applying MCTS to predict the shape of protein molecules. This talk will provide a brief introduction to the Hydrophobic-polar protein folding model and then concentrate on the amendments they made to the MCTS algorithm to improve its performance on finding solutions to the problem.

Gavin Potter

Gavin is a mathematical psychologist who specialises in combining psychological theories together with the analysis of large datasets in order to extract new insights into people's preferences and desires. He graduated from Oxford with an Experimental Psychology degree and has spent over 20 years developing models to better understand human behaviour. He lectures widely on the subject and is a pioneer in the field of behavioural economics.

Thanks to our sponsors

Who's coming?

Attending Members