Simultaneous learning and planning in a hierarchical control system for a cognitive agent
A. I. Panov

This publication is cited in the following articles:

1. Brian Angulo, Aleksandr Panov, Konstantin Yakovlev, “Policy Optimization to Learn Adaptive Motion Primitives in Path Planning With Dynamic Obstacles”, IEEE Robot. Autom. Lett., 8:2 (2023), 824  
2. Artem Zholus, Yaroslav Ivchenkov, Aleksandr I. Panov, Studies in Computational Intelligence, 1064, Advances in Neural Computation, Machine Learning, and Cognitive Research VI, 2023, 19  
3. A. I. Panov, L. A. Ugadiarov, “A World Model for Actor–Critic in Reinforcement Learning”, Pattern Recognit. Image Anal., 33:3 (2023), 467  
4. Daniil Pushkarev, Konstantin Mironov, Ilya Basharov, Margarita Kichik, Sergey Linok, Dmitry Yudin, Muhammad Alhaddad, Aleksandr Panov, Lecture Notes in Computer Science, 13719, Interactive Collaborative Robotics, 2022, 130