5日前 -Deep Q-Network is a powerful reinforcement learning algorithm; Cristian Leo's new explainer shows how it works under the hood and how to implement it, ...
4日前 -In this work, an autonomous robot navigation method based on reinforcement learning is introduced. We use the Deep Q Network (DQN) and Proximal Policy ...
4日前 -We use the Deep Q-Network with reinforcement learning to investigate the emergence of odd elasticity in an elastic microswimmer model.
2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 ...
10時間前 -Specifically, we apply deep Q-network (DQN) in reinforcement learning to the PODEM (path-oriented decision making) ATPG algorithm, and design a reward ...
6日前 -Overall illustration of proposed DQN and DDQN where only the DDQN contains the 'Target Network' (in green). DDQN, double deep Q network; DQN, deep Q network.
2日前 -This paper presents the Multi-agent Deep Q network-based technique for planning optimized trajectories for the UAV swarm which can sense the wildfire in the ...
3日前 -This paper introduces an autonomous robot navigation method based on reinforcement learning. The authors use Deep Q Network (DQN) and Proximal Policy ...
4日前 -... (Deep Q-Network). Lin et al. introduced a method known as Neural Episodic Control (NEC), which employs differentiable neural dictionaries to record ...
2日前 -They study in [126] proposed deep Q-network based model free approach to achieve minimum number of HOs by tuning the HO control parameters (i.e., HO margin and ...