Become a sponsor to Jet New
I study computer science and research reinforcement learning at NUS. You can view my profile at jetnew.io.
I work on cool projects, such as multi-agent reinforcement learning between slimes playing volleyball, natural language processing question answering system for plug-and-play use, and agent-based modelling for simulating the effectiveness of wearing masks.
My interests reside in AI, complex systems and statistics. Support me if you'd like to see more of related projects!
Reaching this goal will strongly motivate and incentivize me to create even better and cooler stuff!
Featured work
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jetnew/DrFAQ
DrFAQ is a plug-and-play question answering NLP chatbot that can be generally applied to any organisation's text corpora.
Jupyter Notebook 29 -
jetnew/COVID-Resource-Allocation-Simulator
Agent-based modelling for resource allocation in viral crises to investigate resource allocation and policy interventions with respect to transmission rate.
Python 63 -
jetnew/SlimeRL
Code repository for the research project "You Play Ball, I Play Ball: Bayesian Multi-Agent Reinforcement Learning for Slime Volleyball", won 1st Prize at 17th STePS.
Jupyter Notebook 16 -
jetnew/The-Chosen-One
The Chosen One trained with Multi-Agent Reinforcement Learning and Generative Progressive Autocurricula, won Best AI Hack at iNTUition 2019.
Jupyter Notebook 5