no code implementations • 19 Feb 2024 • Han-Dong Lim, HyeAnn Lee, Donghwan Lee
Reinforcement learning has witnessed significant advancements, particularly with the emergence of model-based approaches.
no code implementations • 10 Oct 2023 • HyeAnn Lee, Donghwan Lee
The goal of this paper is to propose a new Q-learning algorithm with a dummy adversarial player, which is called dummy adversarial Q-learning (DAQ), that can effectively regulate the overestimation bias in standard Q-learning.