Obstacle Avoidance Using Deep Q Learning

By Editorial Team · October 20, 2026 · 4 min read

Obstacle Avoidance Using Deep Q Learning Information Guide

  1. Overview on Obstacle Avoidance Using Deep Q Learning
  2. Important Facts
  3. History
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  5. Summary

Overview on Obstacle Avoidance Using Deep Q Learning

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History

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Decentralized Multi-agent Collision Avoidance with Deep Reinforcement Learning
Decentralized Multi-agent Collision Avoidance with Deep Reinforcement Learning
Apply Q-Learning to Obstacle Avoidance on Turtlebot3
Apply Q-Learning to Obstacle Avoidance on Turtlebot3
Deep Reinforcement Learning Obstacle Avoidance
Deep Reinforcement Learning Obstacle Avoidance
Obstacle Avoidance using Q learning
Obstacle Avoidance using Q learning
[2022 SW발표회] 36 김연준 Obstacle Avoidance for Autonomous Driving with Deep Reinforcement Learning(ENG)
[2022 SW발표회] 36 김연준 Obstacle Avoidance for Autonomous Driving with Deep Reinforcement Learning(ENG)
Collision avoidance of unmanned ground vehicle using deep reinforcement learning
Collision avoidance of unmanned ground vehicle using deep reinforcement learning
Dynamic Obstacle Avoidance for CDPRs with Mobile Bases via Sim-to-Real Reinforcement Learning
Dynamic Obstacle Avoidance for CDPRs with Mobile Bases via Sim-to-Real Reinforcement Learning
Turtlebot2 obstacle avoidance using reinforcement learning
Turtlebot2 obstacle avoidance using reinforcement learning
Reinforcement Learning for Obstacle Avoidance
Reinforcement Learning for Obstacle Avoidance
Obstacle Avoidance Behavior Acquired using Neural Q-Learning Algorithm (Simulation)
Obstacle Avoidance Behavior Acquired using Neural Q-Learning Algorithm (Simulation)
Deep Q-Learning - Combining Neural Networks and Reinforcement Learning
Deep Q-Learning - Combining Neural Networks and Reinforcement Learning

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Last Updated: October 20, 2026

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Full Wall following and obstacle avoidance using Q-Learning (Reinforcement Learning) Guide
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Summary

This video is a demonstration of the This is a simulation of a wall following robot trained Source code can be found here: bitbucket.org/showay29/ Hello everyone my name is yonjun and my research topic is Researchers: Wen Lik Dennis Lui and Velappa Ganapathy Summary: This video shows the acquired Enroll to gain access to the full course: deeplizard.com/course/rlcpailzrd Welcome back to this series on

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