Ambuj Tewari

Explores bandit feedback and its implications for machine learning models.

This article examines the online learning of linear operators and its complexities.

A new algorithm improves offline RL efficiency with low-rank MDP structures.

A look into challenges of making predictions in complex dynamical systems.

Exploration is key for effectively training agents in multitask reinforcement learning.

This study examines how future predictions enhance online classification performance.

Exploring new methods for effective reinforcement learning in continuous settings.

A new method improves prediction reliability using multiple data views.

Engineers improve system performance by integrating design and control with robust strategies.

Researching how to learn operators and handle errors effectively in function spaces.