A Dynamic Parameter Adaptive Path Planning Algorithm
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-49614-1_17
Reference13 articles.
1. Chen, H., Ji, Y., Niu, L.: Reinforcement learning path planning algorithm based on obstacle area expansion strategy. Intell. Serv. Robot. 13(2), 289–297 (2020)
2. Devo, A., Costante, G., Valigi, P.: Deep reinforcement learning for instruction following visual navigation in 3D maze-like environments. IEEE Rob. Autom. Lett. 5(2), 1175–1182 (2020)
3. Dijkstra, E.W.: A note on two problems in connexion with graphs. In: Edsger Wybe Dijkstra: His Life, Work, and Legacy, pp. 287–290 (2022)
4. Hart, P.E., Nilsson, N.J., Raphael, B.: A formal basis for the heuristic determination of minimum cost paths. IEEE Trans. Syst. Sci. Cybern. 4(2), 100–107 (1968)
5. Jiang, L., Huang, H., Ding, Z.: Path planning for intelligent robots based on deep q-learning with experience replay and heuristic knowledge. IEEE/CAA J. Automatica Sinica 7(4), 1179–1189 (2019)
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