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Q Learning Explained (tutorial)
Deep Q-Learning for End-to-End Robot Collision Avoidance
Decentralized Multi-agent Collision Avoidance with Deep Reinforcement Learning
Apply Q-Learning to Obstacle Avoidance on Turtlebot3
Deep Reinforcement Learning for Collision Avoidance of Robotic Manipulators
Collision Avoidance Systems Using Reinforcement Learning Algorithms
Obstacle Avoidance using Deep Q learning
Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning
Unity Q Learning another collision avoidance test
Collision Avoidance Using Reinforcement Learning: An Implementation
Q-learning - Explained!
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Last Updated: September 28, 2026
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Source code - github.com/analogicalnexus/UMD-course-projects. The agent, turtebot is simulated in an Open AI Gym environment and is then trained for 3800 episodes. The video shows the ... ICRA 2018 Spotlight Video Interactive Session Thu AM Pod Source code can be found here: bitbucket.org/showay29/ This video describes the experiments and results in the paper at ... Accepted for presentation at ICRA 2018. Paper: arxiv.org/pdf/1709.10082.pdf Project: sites.google.com/view/drlmaca/ ... Implementation of the paper "Towards Optimally Decentralized Multi-Robot Let's talk about one of the more important concepts in