Han-Dong Lim

According to our database, Han-Dong Lim authored at least 11 papers between 2021 and 2024.

Collaborative distances:

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

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

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

A primal-dual perspective for distributed TD-learning.

Han-Dong Lim, Donghwan Lee

CoRR, 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

Finite-Time Analysis of Asynchronous Q-learning under Diminishing Step-Size from Control-Theoretic View.

Han-Dong Lim, Donghwan Lee

CoRR, 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