Taehee Lee

large language models

agentic AI

tool-augmented reasoning LLM systems

retrieval-augmented generation

decision-making agents reinforcement learning

combinatorial optimization

real-world scheduling multi-agent reinforcement learning

simulation-based optimization

industrial control representation learning

inductive bias

generalization theory statistical learning theory

invariance

distribution shift causal inference

counterfactual reasoning

explainable AI