Han-Dong Lim

According to our database, Han-Dong Lim authored at least 14 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

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

Han-Dong Lim, Donghwan Lee

CoRR, April, 2025

Analysis of Off-Policy <i>n</i>-Step TD-Learning with Linear Function Approximation.

Han-Dong Lim, Donghwan Lee

CoRR, February, 2025

A Primal-dual Perspective for Distributed TD-learning.

Han-Dong Lim, Donghwan Lee

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

2024

Finite-Time Analysis of Temporal Difference Learning with Experience Replay.

Han-Dong Lim, Donghwan Lee

Trans. Mach. Learn. Res., 2024

A finite time analysis of distributed Q-learning.

Han-Dong Lim, Donghwan Lee

CoRR, 2024

Finite-Time Error Analysis of Online Model-Based Q-Learning with a Relaxed Sampling Model.

Han-Dong Lim, HyeAnn Lee, Donghwan Lee

CoRR, 2024

Finite-Time Analysis of Asynchronous Q-Learning Under Diminishing Step-Size From Control-Theoretic View.

Han-Dong Lim, Donghwan Lee

IEEE Access, 2024

Regularized Q-Learning.

Han-Dong Lim, Donghwan Lee

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Continuous-Time Distributed Dynamic Programming for Networked Multi-Agent Markov Decision Processes.

Donghwan Lee, Han-Dong Lim, Do Wan Kim

Proceedings of the 18th IEEE International Conference on Control & Automation, 2024

2023

New Versions of Gradient Temporal-Difference Learning.

Donghwan Lee, Han-Dong Lim, Jihoon Park, Okyong Choi

IEEE Trans. Autom. Control., August, 2023

Temporal Difference Learning with Experience Replay.

Han-Dong Lim, Donghwan Lee

CoRR, 2023

Backstepping Temporal Difference Learning.

Han-Dong Lim, Donghwan Lee

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Regularized Q-learning.

Han-Dong Lim, Do Wan Kim, Donghwan Lee

CoRR, 2022

2021

Versions of Gradient Temporal Difference Learning.

Donghwan Lee, Han-Dong Lim, Jihoon Park, Okyong Choi

CoRR, 2021