Jayden Teoh

I'm a Computer Science undergraduate student at Singapore Management University. I am also a research intern at Microsoft Research New York under John Langford.

I am in search of a CS PhD program starting Fall 2026.

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Research

My research interests are in efficient representation learning in neural architectures, and generalization in deep reinforcement learning. I have a track record of publishing papers in top-tier conferences such as ICLR, NeurIPS, and ICML.

We formalize the concept of generalization in Multi-Objective Reinforcement Learning (MORL) and contribute a novel benchmark to facilitate future studies in this area.

We evaluate the effectiveness of capability elicitation techniques by intentionally training model organisms — language models with hidden capabilities that are revealed by a password.

By integrating both regret and novelty as complementary objectives for unsupervised environment design, our CENIE framework facilitates effective exploration across the state-action space while progressively increasing curriculum complexity.

GENIE quantifies environment novelty within the Unsupervised Environment Design (UED) paradigm by using Gaussian Mixture Models.

Miscellanea