новости

Nov 14, 2024 I defended my thesis “Methods and algorithms of neurosymbolic learning and behavior planning for cognitive agents” (in Russian) for the degree of Doctor of Science in Physics and Mathematics.
Nov 13, 2024 The paper “Generative Models for Grid-Based and Image-Based Pathfinding” has been published at Artificial Intelligence journal.
Aug 28, 2024 The paper “Hebbian Spatial Encoder with Adaptive Sparse Connectivity” has been published at Cognitive Systems Research.
Jul 25, 2024 The paper “Latent State Space Quantization for Learning and Exploring Goals” has been accepted for publication at MICAI 2024.
Jul 24, 2024 Three papers, “Reframing: Detector-specific Prompt Tuning for Enhancing Open-Vocabulary Object Detection,” “Soft Adaptive Segments for Bio-Inspired Temporal Memory,” and “Common Sense Plan Verification with Large Language Models,” have been accepted for publication at HAIS 2024.
Jul 7, 2024 Our paper “Instruction Following with Goal-Conditioned Reinforcement Learning in Virtual Environments” has been accpeted for publication at ECAI 2024.
Jul 5, 2024 Our paper “Model-based Policy Optimization using Symbolic World Model” has been accpeted for publication at IROS 2024.
Jul 1, 2024 The paper “Stabilizing manipulator trajectory via collision-aware optimization” has been accepted for publicaion at ICR 2024.
May 17, 2024 Our paper “FFStreams: Fast Search with Streams for Autonomous Maneuver Planning” has been published in IEEE Robotics and Automation Letters.
Apr 15, 2024 Our paper “Interactive Semantic Map Representation for Skill-Based Visual Object Navigation” has been published in IEEE Access.
Apr 10, 2024 Our paper “Sign-Based Image Criteria for Social Interaction Visual Question Answering” has been published in Logic Journal of the IGPL.
Jan 31, 2024 Our paper “Neural Potential Field for Obstacle-Aware Local Motion Planning” has been accepted at ICRA 2024.
Jan 20, 2024 Our paper “Object-Centric Learning with Slot Mixture Module” has been accepted at ICLR 2024.
Dec 20, 2023 Our papers “Learn to Follow: Decentralized Lifelong Multi-Agent Pathfinding via Planning and Learning” and “Decentralized Monte Carlo Tree Search for Partially Observable Multi-agent Pathfinding” have been accepted at AAAI 2024.
Nov 30, 2023 Presenting our work about multimodal transformer models for robotic planning at AI Journey conference (Moscow, Russia).
Sep 25, 2023 Presenting our work about planning maneuvers whith offline RL at IITI conference (Saint Petersburg, Russia).
Sep 5, 2023 Presenting two our works about MCTS for MAPF and concpet learning in LLMs at HAIS conference (Online and Salamanca, Spain).
Aug 20, 2023 Presenting our works at NSA and PLR workshops (IJCAI-2023, Macao).
Aug 3, 2023 Our paper “When to Switch: Planning and Learning For Partially Observable Multi-Agent Pathfinding” has been accepted in IEEE TNNLS journal.
Jul 31, 2023 Our paper “Interpreting Decision Process in Offline Reinforcement Learning for Interactive Recommendation Systems” has been accepted at ICONIP-2023.
Jul 14, 2023 Our paper “Skill Fusion in Hybrid Robotic Framework for Visual Object Goal Navigation” has been accepted in MDPI Robotics journal.
Jun 30, 2023 Our paper “Quantized Disentangled Representations for Object-Centric Visual Tasks” has been accepted at PReMI-2023.