Picture for Aleksandr I. Panov

Aleksandr I. Panov

Intrinsic Motivation in Model-based Reinforcement Learning: A Brief Review

Jan 24, 2023
Artem Latyshev, Aleksandr I. Panov

Figure 1 for Intrinsic Motivation in Model-based Reinforcement Learning: A Brief Review

Figure 2 for Intrinsic Motivation in Model-based Reinforcement Learning: A Brief Review

Figure 3 for Intrinsic Motivation in Model-based Reinforcement Learning: A Brief Review

Figure 4 for Intrinsic Motivation in Model-based Reinforcement Learning: A Brief Review

* 13 pages, 7 figures

Access Paper or Ask Questions

HPointLoc: Point-based Indoor Place Recognition using Synthetic RGB-D Images

Dec 30, 2022
Dmitry Yudin, Yaroslav Solomentsev, Ruslan Musaev, Aleksei Staroverov, Aleksandr I. Panov

Figure 1 for HPointLoc: Point-based Indoor Place Recognition using Synthetic RGB-D Images

Figure 2 for HPointLoc: Point-based Indoor Place Recognition using Synthetic RGB-D Images

Figure 3 for HPointLoc: Point-based Indoor Place Recognition using Synthetic RGB-D Images

Figure 4 for HPointLoc: Point-based Indoor Place Recognition using Synthetic RGB-D Images

* Accepted for publishing in proceedings of the 29th International Conference on Neural Information Processing (ICONIP 2022)

Access Paper or Ask Questions

POGEMA: Partially Observable Grid Environment for Multiple Agents

Jun 22, 2022
Alexey Skrynnik, Anton Andreychuk, Konstantin Yakovlev, Aleksandr I. Panov

Figure 1 for POGEMA: Partially Observable Grid Environment for Multiple Agents

Figure 2 for POGEMA: Partially Observable Grid Environment for Multiple Agents

Figure 3 for POGEMA: Partially Observable Grid Environment for Multiple Agents

Figure 4 for POGEMA: Partially Observable Grid Environment for Multiple Agents

* 7 pages, 7 figures

Access Paper or Ask Questions

Multitask Adaptation by Retrospective Exploration with Learned World Models

Oct 25, 2021
Artem Zholus, Aleksandr I. Panov

Figure 1 for Multitask Adaptation by Retrospective Exploration with Learned World Models

Figure 2 for Multitask Adaptation by Retrospective Exploration with Learned World Models

Figure 3 for Multitask Adaptation by Retrospective Exploration with Learned World Models

Figure 4 for Multitask Adaptation by Retrospective Exploration with Learned World Models

Access Paper or Ask Questions

Long-Term Exploration in Persistent MDPs

Sep 21, 2021
Leonid Ugadiarov, Alexey Skrynnik, Aleksandr I. Panov

Figure 1 for Long-Term Exploration in Persistent MDPs

Figure 2 for Long-Term Exploration in Persistent MDPs

Figure 3 for Long-Term Exploration in Persistent MDPs

Figure 4 for Long-Term Exploration in Persistent MDPs

* This is a preprint of the paper accepted to MICAI 2021. It contains 13 pages and 6 figures

Access Paper or Ask Questions

Landmark Policy Optimization for Object Navigation Task

Sep 17, 2021
Aleksey Staroverov, Aleksandr I. Panov

Figure 1 for Landmark Policy Optimization for Object Navigation Task

Figure 2 for Landmark Policy Optimization for Object Navigation Task

Figure 3 for Landmark Policy Optimization for Object Navigation Task

Figure 4 for Landmark Policy Optimization for Object Navigation Task

Access Paper or Ask Questions

Q-Mixing Network for Multi-Agent Pathfinding in Partially Observable Grid Environments

Aug 13, 2021
Vasilii Davydov, Alexey Skrynnik, Konstantin Yakovlev, Aleksandr I. Panov

Figure 1 for Q-Mixing Network for Multi-Agent Pathfinding in Partially Observable Grid Environments

Figure 2 for Q-Mixing Network for Multi-Agent Pathfinding in Partially Observable Grid Environments

Figure 3 for Q-Mixing Network for Multi-Agent Pathfinding in Partially Observable Grid Environments

Figure 4 for Q-Mixing Network for Multi-Agent Pathfinding in Partially Observable Grid Environments

* This is a preprint of the paper accepted to RCAI 2021. It contains 11 pages and 5 figures

Access Paper or Ask Questions

Delta Schema Network in Model-based Reinforcement Learning

Jul 08, 2020
Andrey Gorodetskiy, Alexandra Shlychkova, Aleksandr I. Panov

Figure 1 for Delta Schema Network in Model-based Reinforcement Learning

Figure 2 for Delta Schema Network in Model-based Reinforcement Learning

Figure 3 for Delta Schema Network in Model-based Reinforcement Learning

* Published at the AGI 2020 conference

Access Paper or Ask Questions