6日前 -We use the Deep Q-Network with reinforcement learning to investigate the emergence of odd elasticity in an elastic microswimmer model.
5日前 -It leverages the Deep Q Network (DQN) architecture, enhanced with the Rainbow DQN approach, to create a dynamic task placement strategy. This approach is ...
2日前 -Guided by the analysis, the paper proposes the Balance Deep Q-Network (DQN) algorithm to mitigate the negative impact of the imbalanced problems on algorithm ...
5日前 -The Deep Q-Network (DQN) algorithm, introduced by Mnih et al. [24, 23] , represents a significant advancement in reinforcement learning, utilizing deep ...
1日前 -This publication describes a DQN-based Modular Neural Network architecture designed for Game AI applications. The system combines a Deep Q-Network (DQN) ...
6日前 -This paper introduces an autonomous robot navigation method based on reinforcement learning. The authors use Deep Q Network (DQN) and Proximal Policy ...
8時間前 -In this work, an autonomous robot navigation method basedon reinforcement learning is introduced. We use the Deep Q Network (DQN) andProximal Policy ...
6日前 -A smart traffic signal control system using a deep Q-network, which is a type of reinforcement learning, is proposed. The proposed algorithm determines the ...
5日前 -Machine Learning Algorithm Types ; A. Model-Free Methods. Q-Learning; Deep Q-Network (DQN) ; B. Model-Based Methods. Deep Deterministic Policy Gradient (DDPG) ...
1日前 -DRLQ leverages the Deep Q Network (DQN) architecture, enhanced with the Rainbow DQN approach, to create a dynamic task placement strategy. DRLQ aims to ...