| Hierarchical intrinsically motivated agent planning behavior with dreaming in grid environments E Dzhivelikian, A Latyshev, P Kuderov, AI Panov Brain Informatics 9 (1), 8, 2022 | 10 | 2022 |
| Planning with Hierarchical Temporal Memory for Deterministic Markov Decision Problem. P Kuderov, AI Panov ICAART (2), 1073-1081, 2021 | 8 | 2021 |
| Intrinsic motivation to learn action-state representation with hierarchical temporal memory E Dzhivelikian, A Latyshev, P Kuderov, AI Panov International Conference on Brain Informatics, 13-24, 2021 | 4 | 2021 |
| Stabilize sequential data representation via attraction module P Kuderov, E Dzhivelikian, AI Panov International Conference on Brain Informatics, 83-95, 2023 | 3 | 2023 |
| Stability and similarity detection for the biologically inspired temporal pooler algorithms I Rodkin, P Kuderov, AI Panov Procedia Computer Science 213, 570-579, 2022 | 3 | 2022 |
| Learning hidden Markov model of stochastic environment with bio-inspired probabilistic temporal memory E Dzhivelikian, P Kuderov, AI Panov Biologically Inspired Cognitive Architectures Meeting, 330-339, 2023 | 1 | 2023 |
| Attractor Properties of Spatiotemporal Memory in Effective Sequence Processing Task P Kuderov, E Dzhivelikian, AI Panov Optical Memory and Neural Networks 32 (Suppl 2), S284-S292, 2023 | | 2023 |
| Interpreting Decision Process in Offline Reinforcement Learning for Interactive Recommendation Systems Z Volovikova, P Kuderov, AI Panov International Conference on Neural Information Processing, 270-286, 2023 | | 2023 |
| Learning Successor Representations with Distributed Hebbian Temporal Memory E Dzhivelikian, P Kuderov, AI Panov arXiv preprint arXiv:2310.13391, 2023 | | 2023 |
