Aleksandr Panov

62 papers A* 10A 3Misc 2Journal 34Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Accelerating path planning with vectorization of intersection operations. Intell. Serv. Robotics Kirill Kasmynin, Konstantin Mironov, Aleksandr Panov
2026	A*	`conf`	CAMAR: Continuous Actions Multi-Agent Routing. AAAI Artem Pshenitsyn, Aleksandr Panov, Alexey Skrynnik
2026	J	`jnl`	Object-Centric World Models Meet Monte Carlo Tree Search. CoRR Rodion Vakhitov, Leonid Ugadiarov, Aleksandr Panov
2025	A	`conf`	Advancing Learnable Multi-Agent Pathfinding Solvers with Active Fine-Tuning. IROS Anton Andreychuk, Konstantin S. Yakovlev, Aleksandr Panov, Alexey Skrynnik
2025	J	`jnl`	Advancing Learnable Multi-Agent Pathfinding Solvers with Active Fine-Tuning. CoRR Anton Andreychuk, Konstantin S. Yakovlev, Aleksandr Panov, Alexey Skrynnik
2025	—	`conf`	AmbiK: Dataset of Ambiguous Tasks in Kitchen Environment. ACL (1) Anastasiia Ivanova, Eva Bakaeva, Zoya Volovikova, Alexey K. Kovalev, Aleksandr Panov
2025	J	`jnl`	Applying opponent and environment modelling in decentralised multi-agent reinforcement learning. Cogn. Syst. Res. Alexander Chernyavskiy, Alexey Skrynnik, Aleksandr Panov
2025	J	`jnl`	CAMAR: Continuous Actions Multi-Agent Routing. CoRR Artem Pshenitsyn, Aleksandr Panov, Alexey Skrynnik
2025	J	`jnl`	CoRL-MPPI: Enhancing MPPI With Learnable Behaviours For Efficient And Provably-Safe Multi-Robot Collision Avoidance. CoRR Stepan Dergachev, Artem Pshenitsyn, Aleksandr Panov, Alexey Skrynnik, Konstantin S. Yakovlev
2025	—	`conf`	CrafText Benchmark: Advancing Instruction Following in Complex Multimodal Open-Ended World. ACL (1) Zoya Volovikova, Gregory Gorbov, Petr Kuderov, Aleksandr Panov, Alexey Skrynnik
2025	A*	`conf`	Learning Successor Features with Distributed Hebbian Temporal Memory. ICLR Evgenii Aleksandrovich Dzhivelikian, Petr Kuderov, Aleksandr Panov
2025	A	`conf`	M3PO: Massively Multi-Task Model-Based Policy Optimization. IROS Aditya Narendra, Dmitry Makarov, Aleksandr Panov
2025	J	`jnl`	M3PO: Massively Multi-Task Model-Based Policy Optimization. CoRR Aditya Narendra, Dmitry Makarov, Aleksandr Panov
2025	A*	`conf`	MAPF-GPT: Imitation Learning for Multi-Agent Pathfinding at Scale. AAAI Anton Andreychuk, Konstantin S. Yakovlev, Aleksandr Panov, Alexey Skrynnik
2025	J	`jnl`	OVSegDT: Segmenting Transformer for Open-Vocabulary Object Goal Navigation. CoRR Tatiana Zemskova, Aleksei Staroverov, Dmitry A. Yudin, Aleksandr Panov
2025	—	`conf`	Object-Centric Dreamer. ICANN (1) Leonid Ugadiarov, Vitaliy Vorobyov, Aleksandr Panov
2025	—	`conf`	Optimizing the Trajectory of Robotic Manipulator: Reinforcement Learning for the Generation of Initial Guess. ICR (1) Elena Rubleva, Konstantin Mironov, Aleksandr Panov
2025	A*	`conf`	POGEMA: A Benchmark Platform for Cooperative Multi-Agent Pathfinding. ICLR Alexey Skrynnik, Anton Andreychuk, Anatolii Borzilov, Alexander Chernyavskiy, Konstantin S. Yakovlev, Aleksandr Panov
2025	J	`jnl`	Polygon decomposition for obstacle representation in motion planning with Model Predictive Control. Eng. Appl. Artif. Intell. Aleksey Logunov, Muhammad Alhaddad, Konstantin Mironov, Konstantin S. Yakovlev, Aleksandr Panov
2025	—	`conf`	RAPID: Robust Adaptive Probabilistic Inference with DINO Features. HAIS (2) Vladimir Frolov, Vitaliy Vorobyov, Leonid Ugadiarov, Aleksandr Panov
2025	—	`conf`	Relational Object-Centric Actor-Critic. CLeaR Leonid Ugadiarov, Vitaliy Vorobyov, Aleksandr Panov
2025	J	`jnl`	Rethinking Exploration and Experience Exploitation in Value-Based Multi-Agent Reinforcement Learning. IEEE Access Anatolii Borzilov, Alexey Skrynnik, Aleksandr Panov
2025	J	`jnl`	SGN-CIRL: Scene Graph-based Navigation with Curriculum, Imitation, and Reinforcement Learning. CoRR Nikita Oskolkov, Huzhenyu Zhang, Dmitry Makarov, Dmitry A. Yudin, Aleksandr Panov
2025	J	`jnl`	SegmATRon: Embodied adaptive semantic segmentation for indoor environment. Neurocomputing Tatiana Zemskova, Margarita Kichik, Dmitry A. Yudin, Aleksei Staroverov, Aleksandr Panov
2025	J	`jnl`	TOCALib: Optimal control library with interpolation for bimanual manipulation and obstacles avoidance. CoRR Yulia Danik, Dmitry Makarov, Aleksandra Arkhipova, Sergei Davidenko, Aleksandr Panov
2025	—	`conf`	Temporal Predictive Coding as World Model for Reinforcement Learning. AGI (2) Artem Prokhorenko, Petr Kuderov, Evgenii Dzhivelikian, Aleksandr Panov
2024	A*	`conf`	Decentralized Monte Carlo Tree Search for Partially Observable Multi-Agent Pathfinding. AAAI Alexey Skrynnik, Anton Andreychuk, Konstantin S. Yakovlev, Aleksandr Panov
2024	J	`jnl`	Dynamic Neural Potential Field: Online Trajectory Optimization in Presence of Moving Obstacles. CoRR Aleksey Staroverov, Muhammad Alhaddad, Aditya Narendra, Konstantin Mironov, Aleksandr Panov
2024	J	`jnl`	FFStreams: Fast Search With Streams for Autonomous Maneuver Planning. IEEE Robotics Autom. Lett. Mais Jamal, Aleksandr Panov
2024	A*	`conf`	Gradual Optimization Learning for Conformational Energy Minimization. ICLR Artem Tsypin, Leonid Ugadiarov, Kuzma Khrabrov, Alexander Telepov, Egor Rumiantsev, Alexey Skrynnik, Aleksandr Panov, Dmitry P. Vetrov, Elena Tutubalina, Artur Kadurin
2024	J	`jnl`	Hierarchical waste detection with weakly supervised segmentation in images from recycling plants. Eng. Appl. Artif. Intell. Dmitry A. Yudin, Nikita Zakharenko, Artem Smetanin, Roman Filonov, Margarita Kichik, Vladislav Kuznetsov, Dmitry Larichev, Evgeny Gudov, Semen A. Budennyy, Aleksandr Panov
2024	A*	`conf`	Learn to Follow: Decentralized Lifelong Multi-Agent Pathfinding via Planning and Learning. AAAI Alexey Skrynnik, Anton Andreychuk, Maria Nesterova, Konstantin S. Yakovlev, Aleksandr Panov
2024	J	`jnl`	MAPF-GPT: Imitation Learning for Multi-Agent Pathfinding at Scale. CoRR Anton Andreychuk, Konstantin S. Yakovlev, Aleksandr Panov, Alexey Skrynnik
2024	J	`jnl`	Maneuver Decision-Making with Trajectory Streams Prediction for Autonomous Vehicles. CoRR Mais Jamal, Aleksandr Panov
2024	A	`conf`	Model-based Policy Optimization using Symbolic World Model. IROS Andrey Gorodetskiy, Konstantin Mironov, Aleksandr Panov
2024	J	`jnl`	Model-based Policy Optimization using Symbolic World Model. CoRR Andrey Gorodetskiy, Konstantin Mironov, Aleksandr Panov
2024	A*	`conf`	Neural Potential Field for Obstacle-Aware Local Motion Planning. ICRA Muhammad Alhaddad, Konstantin Mironov, Aleksey Staroverov, Aleksandr Panov
2024	A*	`conf`	Object-Centric Learning with Slot Mixture Module. ICLR Daniil E. Kirilenko, Vitaliy Vorobyov, Alexey K. Kovalev, Aleksandr Panov
2024	J	`jnl`	POGEMA: A Benchmark Platform for Cooperative Multi-Agent Navigation. CoRR Alexey Skrynnik, Anton Andreychuk, Anatolii Borzilov, Alexander Chernyavskiy, Konstantin S. Yakovlev, Aleksandr Panov
2024	J	`jnl`	Safe Policy Exploration Improvement via Subgoals. CoRR Brian Angulo, Gregory Gorbov, Aleksandr Panov, Konstantin S. Yakovlev
2024	—	`conf`	Soft Adaptive Segments for Bio-Inspired Temporal Memory. HAIS (1) Artem Prokhorenko, Evgenii Dzhivelikian, Petr Kuderov, Aleksandr Panov
2024	—	`conf`	Stabilizing Manipulator Trajectory via Collision-Aware Optimization. ICR Elena Rubleva, Konstantin Mironov, Aleksandr Panov
2023	J	`jnl`	Decentralized Monte Carlo Tree Search for Partially Observable Multi-agent Pathfinding. CoRR Alexey Skrynnik, Anton Andreychuk, Konstantin S. Yakovlev, Aleksandr Panov
2023	J	`jnl`	Evaluation of Safety Constraints in Autonomous Navigation with Deep Reinforcement Learning. CoRR Brian Angulo, Gregory Gorbov, Aleksandr Panov, Konstantin S. Yakovlev
2023	J	`jnl`	Interactive Semantic Map Representation for Skill-based Visual Object Navigation. CoRR Tatiana Zemskova, Aleksei Staroverov, Kirill Muravyev, Dmitry A. Yudin, Aleksandr Panov
2023	J	`jnl`	Learn to Follow: Decentralized Lifelong Multi-agent Pathfinding via Planning and Learning. CoRR Alexey Skrynnik, Anton Andreychuk, Maria Nesterova, Konstantin S. Yakovlev, Aleksandr Panov
2023	—	`conf`	Model-Based Policy Optimization with Neural Differential Equations for Robotic Arm Control. ICR Andrey Gorodetskiy, Konstantin Mironov, Aleksandr Panov
2023	J	`jnl`	Monte-Carlo Tree Search for Multi-Agent Pathfinding: Preliminary Results. CoRR Yelisey Pitanov, Alexey Skrynnik, Anton Andreychuk, Konstantin S. Yakovlev, Aleksandr Panov
2023	Misc	`conf`	Monte-Carlo Tree Search for Multi-agent Pathfinding: Preliminary Results. HAIS Yelisey Pitanov, Alexey Skrynnik, Anton Andreychuk, Konstantin S. Yakovlev, Aleksandr Panov
2023	J	`jnl`	Neural Potential Field for Obstacle-Aware Local Motion Planning. CoRR Muhammad Alhaddad, Konstantin Mironov, Aleksey Staroverov, Aleksandr Panov
2023	J	`jnl`	Policy Optimization to Learn Adaptive Motion Primitives in Path Planning With Dynamic Obstacles. IEEE Robotics Autom. Lett. Brian Angulo, Aleksandr Panov, Konstantin S. Yakovlev
2023	J	`jnl`	Reinforcement Learning with Success Induced Task Prioritization. CoRR Maria Nesterova, Alexey Skrynnik, Aleksandr Panov
2023	J	`jnl`	SegmATRon: Embodied Adaptive Semantic Segmentation for Indoor Environment. CoRR Tatiana Zemskova, Margarita Kichik, Dmitry A. Yudin, Aleksei Staroverov, Aleksandr Panov
2023	Misc	`conf`	The Problem of Concept Learning and Goals of Reasoning in Large Language Models. HAIS Anfisa A. Chuganskaya, Alexey K. Kovalev, Aleksandr Panov
2023	A*	`conf`	TransPath: Learning Heuristics for Grid-Based Pathfinding via Transformers. AAAI Daniil E. Kirilenko, Anton Andreychuk, Aleksandr Panov, Konstantin S. Yakovlev
2022	J	`jnl`	Collecting Interactive Multi-modal Datasets for Grounded Language Understanding. CoRR Shrestha Mohanty, Negar Arabzadeh, Milagro Teruel, Yuxuan Sun, Artem Zholus, Alexey Skrynnik, Mikhail Burtsev, Kavya Srinet, Aleksandr Panov, Arthur Szlam, Marc-Alexandre Côté, Julia Kiseleva
2022	J	`jnl`	Learning to Solve Voxel Building Embodied Tasks from Pixels and Natural Language Instructions. CoRR Alexey Skrynnik, Zoya Volovikova, Marc-Alexandre Côté, Anton Voronov, Artem Zholus, Negar Arabzadeh, Shrestha Mohanty, Milagro Teruel, Ahmed Awadallah, Aleksandr Panov, Mikhail Burtsev, Julia Kiseleva
2022	J	`jnl`	Policy Optimization to Learn Adaptive Motion Primitives in Path Planning with Dynamic Obstacles. CoRR Brian Angulo, Aleksandr Panov, Konstantin S. Yakovlev
2022	—	`conf`	Reinforcement Learning with Success Induced Task Prioritization. MICAI (1) Maria Nesterova, Alexey Skrynnik, Aleksandr Panov
2022	J	`jnl`	TransPath: Learning Heuristics For Grid-Based Pathfinding via Transformers. CoRR Daniil E. Kirilenko, Anton Andreychuk, Aleksandr Panov, Konstantin S. Yakovlev
2021	—	`conf`	Interactive Grounded Language Understanding in a Collaborative Environment: IGLU 2021. NeurIPS (Competition and Demos) Julia Kiseleva, Ziming Li, Mohammad Aliannejadi, Shrestha Mohanty, Maartje ter Hoeve, Mikhail Burtsev, Alexey Skrynnik, Artem Zholus, Aleksandr Panov, Kavya Srinet, Arthur Szlam, Yuxuan Sun, Katja Hofmann, Marc-Alexandre Côté, Ahmed Hassan Awadallah, Linar Abdrazakov, Igor Churin, Putra Manggala, Kata Naszádi, Michiel van der Meer, Taewoon Kim
2021	—	`conf`	Interactive Grounded Language Understanding in a Collaborative Environment: Retrospective on Iglu 2022 Competition. NeurIPS (Competition and Demos) Julia Kiseleva, Alexey Skrynnik, Artem Zholus, Shrestha Mohanty, Negar Arabzadeh, Marc-Alexandre Côté, Mohammad Aliannejadi, Milagro Teruel, Ziming Li, Mikhail Burtsev, Maartje ter Hoeve, Zoya Volovikova, Aleksandr Panov, Yuxuan Sun, Kavya Srinet, Arthur Szlam, Ahmed Awadallah, Seungeun Rho, Taehwan Kwon, Daniel Wontae Nam, Felipe Bivort Haiek, Edwin Zhang, Linar Abdrazakov, Guo Qingyam, Jason Zhang, Zhibin Guo