Obstacle Avoidance Behavior Acquired Using Neural Q Learning Algorithm Simulation Information Guide

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Information Wall following and obstacle avoidance using Q-Learning (Reinforcement Learning) Update
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Full Obstacle Avoidance Behavior Acquired using Neural Q-Learning Algorithm (Validation on Actual Robot) News
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Wall Following Behavior Acquired using Neural Q-Learning Algorithm (Simulation)
Wall Following Behavior Acquired using Neural Q-Learning Algorithm (Simulation)
Obstacle Avoidance using Deep Q learning
Obstacle Avoidance using Deep Q learning
Final Project - Q Learning with Obstacles
Final Project - Q Learning with Obstacles
Obstacle avoidance with a neural network : first try
Obstacle avoidance with a neural network : first try
Wall Following Behavior Acquired using Neural Q-Learning Algorithm (Validation on Actual Robot)
Wall Following Behavior Acquired using Neural Q-Learning Algorithm (Validation on Actual Robot)
Object avoidance with reinforcement learning and convolutional neural network
Object avoidance with reinforcement learning and convolutional neural network
After 3 hours of Q Learning algorithm simulation on Webots
After 3 hours of Q Learning algorithm simulation on Webots
Reinforcement learning  obstacle avoidance
Reinforcement learning obstacle avoidance
Turtlebot2 obstacle avoidance using reinforcement learning
Turtlebot2 obstacle avoidance using reinforcement learning
Autonomous Wall-Following Robot Using Q-Learning | Gazebo Simulation
Autonomous Wall-Following Robot Using Q-Learning | Gazebo Simulation
Reinforcement Learning for obstacle avoidance
Reinforcement Learning for obstacle avoidance

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Last Updated: September 30, 2026

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Obstacle Avoidance using Q learning Guide
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Summary

Researchers: Wen Lik Dennis Lui and Velappa Ganapathy Summary: This video shows the BYU CS 470 Final Project Demonstration. This project is part of Compsci 603: Robotics, a graduate-level course at UMass Amherst, taught by Professor Hao Zhang in Fall ...

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