Donghwan Lee

Analysis of approximate linear programming solution to Markov decision problem with log barrier function

Zero-Shot Visual Generalization in Model-Based Reinforcement Learning via Latent Consistency

Understanding the theoretical properties of projected Bellman equation, linear Q-learning, and approximate value iteration

Offline Reinforcement Learning Through Trajectory Clustering and Lower Bound Penalisation

Adaptive Policy Backbone via Shared Network

Robust deterministic policy gradient for disturbance attenuation

Pretraining a Shared Q-Network for Data-Efficient Offline Reinforcement Learning

Pretraining A Shared Q-Network for Data Efficient Offline Reinforcement Learning

A Finite-Time Analysis of Distributed Q-Learning