과제정보
This work was supported by a Research Grant of Pukyong National University(2021)
참고문헌
- K. Zhu and T. Zhang, "Deep reinforcement learning based mobile robot navigation: A review," in Tsinghua Science and Technology, vol.26, no.5, pp.674-691, 2021. DOI: 10.26599/TST.2021.9010012.
- X. Xue, Z. Li, D. Zhang and Y. Yan, "A Deep Reinforcement Learning Method for Mobile Robot Collision Avoidance based on Double DQN," 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE), pp.2131-2136, 2019. DOI: 10.1109/ISIE.2019.8781522.
- Kober, Jens, J. Andrew Bagnell, and Jan Peters. "Reinforcement learning in robotics: A survey," The International Journal of Robotics Research, Vol.32, No.11, pp.1238-1274, 2013. DOI: 10.1177/0278364913495721
- Otte, Michael W. "A survey of machine learning approaches to robotic path-planning," University of Colorado at Boulder, Boulder 2015. DOI: 10.1109/RISE.2017.8378228
- S. Zhou, X. Liu, Y. Xu and J. Guo, "A Deep Q-network (DQN) Based Path Planning Method for Mobile Robots," 2018 IEEE International Conference on Information and Automation (ICIA), pp.366-371, 2018. DOI: 10.1109/ICInfA.2018.8812452.
- Mnih, Volodymyr, et al. "Playing atari with deep reinforcement learning," arXiv preprint arXiv:1312.5602, 2013.
- J. Xin, H. Zhao, D. Liu and M. Li, "Application of deep reinforcement learning in mobile robot path planning," 2017 Chinese Automation Congress (CAC), pp.7112-7116, 2017. DOI: 10.1109/CAC.2017.8244061.
- X. Ruan, D. Ren, X. Zhu and J. Huang, "Mobile Robot Navigation based on Deep Reinforcement Learning," 2019 Chinese Control And Decision Conference (CCDC), pp.6174-6178, 2019. DOI: 10.1109/CCDC.2019.8832393.
- H. Sasaki, T. Horiuchi and S. Kato, "A study on vision-based mobile robot learning by deep Q-network," 2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE), pp.799-804, 2017. DOI: 10.23919/SICE.2017.8105597.
- Van Hasselt, Hado, Arthur Guez, and David Silver. "Deep reinforcement learning with double q-learning," Proceedings of the AAAI Conference on Artificial Intelligence. Vol.30, No.1, 2016.
- Wang, Ziyu, et al. "Dueling network architectures for deep reinforcement learning." International conference on machine learning. PMLR, 2016.
- Schaul, Tom, et al. "Prioritized experience replay." arXiv preprint arXiv:1511.05952, 2015.
- "Webots: robot simulator" https://cyberbotics.com/#features
- Kirtas, M., et al. "Deepbots: A Webots-Based Deep Reinforcement Learning Framework for Robotics." IFIP International Conference on Artificial Intelligence Applications and Innovations. Springer, Cham, 2020.