Introduction to Active Slam With Deep Reinforcement Learning

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Active Slam With Deep Reinforcement Learning Comprehensive Overview

This video showcases the real-world deployment of an This video demonstrates PhD Defense - Aditya Mahajan - March 17, 2021.

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Summary & Highlights for Active Slam With Deep Reinforcement Learning

  • Vignesh Prasad, Karmesh Yadav, Rohitashva Singh Saurabh, Swapnil Daga, Nahas Pareekutty, K. Madhava Krishna, Balaraman ...
  • This work is accept by IROS2020. Paper reference will be given later.
  • To deal with sudden obstacles in the unknown environment, an integrated
  • Discription.
  • Salvatore Romano MASTER'S DEGREE IN COMPUTER ENGINEERING.

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