How to improve the success rate of autonomous underwater vehicle (AUV) path planning and reduce travel time as much as possible is a very challenging and crucial problem in the practical applications ...

This week I interviewed Senator Amy Klobuchar, Democrat of Minnesota, about her Preventing Algorithmic Collusion Act. If you don’t know what algorithmic collusion is, it’s time to get educated, ...

This is an implementation of Deep Reinforcement Learning for a navigation task. Specifically, DQN algorithm with experience replay method is used to solve the task.

First I created an environment of openAI and Gymnasium I have campared Q-Learning Algoirthm and and DQN Learning Algorithm I got best reward DQN Because It's advance ...

To address traditional impedance control methods' difficulty with obtaining stable forces during robot-skin contact, a force control based on the Gaussian mixture model/Gaussian mixture regression ...

Abstract: DQN (Deep Q-Network) is a deep reinforcement learning algorithm, proposed by DeepMind researchers in 2013, which is a value function-based reinforcement learning method designed to solve ...

ABSTRACT: Pathfinding is a kind of problem widely used in daily life. It is widely used in network games, map navigation and other fields. However, the traditional A* algorithm has some shortcomings, ...