Yuhong Cao

National University of Singapore

収録論文 36本 ・ フィジカルAI/ロボット学習

※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。

論文

• PRIMAL3: 強化学習と模倣学習によるマルチエージェント経路探索 - LaCAM3を活用した大規模フレームワーク
  群制御2026/8/5

  本論文は、強化学習と模倣学習を統合した超大規模マルチエージェント経路探索フレームワークPRIMAL3を提案し、ボトルネックや行き止まりなどの重要な状態でのエージェント間の協調を改善する。

• PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3
  2026/8/1
• TAGA: Terrain-aware Active Gaze Learning for Generalizable Agile Humanoid Locomotion
  2026/6/1
• ImagiNav: Scalable Embodied Navigation via Generative Visual Prediction and Inverse Dynamics
  2026/3/1
• COIN: Collaborative Interaction-Aware Multi-Agent Reinforcement Learning for Self-Driving Systems
  2026/3/1
• FARE: Fast-Slow Agentic Robotic Exploration
  2026/1/1
• ORION: Option-Regularized Deep Reinforcement Learning for Cooperative Multi-Agent Online Navigation
  2026/1/1
• GPO: Growing Policy Optimization for Legged Robot Locomotion and Whole-Body Control
  2026/1/1
• AID: Agent Intent from Diffusion for Multi-Agent Informative Path Planning
  2025/12/1
• APEX: Action Priors Enable Efficient Exploration for Robust Motion Tracking on Legged Robots
  2025/11/1
• HEADER: Hierarchical Robot Exploration via Attention-Based Deep Reinforcement Learning with Expert-Guided Reward
  2025/10/1
• GRATE: a Graph transformer-based deep Reinforcement learning Approach for Time-efficient autonomous robot Exploration
  2025/9/1
• KiVi: Kinesthetic-Visuospatial Integration for Dynamic and Safe Egocentric Legged Locomotion
  2025/9/1
• HeLoM: Hierarchical Learning for Whole-Body Loco-Manipulation by a Hexapod Robot
  2025/9/1
• Neural Algorithmic Reasoners informed Large Language Model for Multi-Agent Path Finding
  2025/8/1
• CogniPlan: Uncertainty-Guided Path Planning with Conditional Generative Layout Prediction
  2025/8/1
• Attention-based Learning for 3D Informative Path Planning
  2025/6/1
• Multimodal Fused Learning for Solving the Generalized Traveling Salesman Problem in Robotic Task Planning
  2025/6/1
• APEX: Action Priors Enable Efficient Exploration for Robust Motion Tracking on Legged Robots
  2025/5/1
• Search-TTA: A Multimodal Test-Time Adaptation Framework for Visual Search in the Wild
  2025/5/1
• HELM: Human-Preferred Exploration with Language Models
  2025/3/1
• SATA: Safe and Adaptive Torque-Based Locomotion Policies Inspired by Animal Learning
  2025/2/18
• SIGMA: Sheaf-Informed Geometric Multi-Agent Pathfinding
  2025/2/1
• SATA: Safe and Adaptive Torque-Based Locomotion Policies Inspired by Animal Learning
  2025/2/1
• MARVEL: Multi-Agent Reinforcement Learning for constrained field-of-View multi-robot Exploration in Large-scale environments
  2025/2/1
• DARE: Diffusion Policy for Autonomous Robot Exploration
  2024/10/1
• IR2: Implicit Rendezvous for Robotic Exploration Teams under Sparse Intermittent Connectivity
  2024/9/1
• HDPlanner: Advancing Autonomous Deployments in Unknown Environments through Hierarchical Decision Networks
  2024/8/1
• Privileged Reinforcement and Communication Learning for Distributed, Bandwidth-limited Multi-robot Exploration
  2024/7/1
• STAR: Swarm Technology for Aerial Robotics Research
  2024/6/1
• Deep Reinforcement Learning-based Large-scale Robot Exploration
  2024/3/1
• Intent-based Deep Reinforcement Learning for Multi-agent Informative Path Planning
  2023/3/1
• Spatio-Temporal Attention Network for Persistent Monitoring of Multiple Mobile Targets
  2023/3/1
• ARiADNE: A Reinforcement learning approach using Attention-based Deep Networks for Exploration
  2023/1/1
• Distributed Reinforcement Learning for Robot Teams: A Review
  2022/4/1
• DAN: Decentralized Attention-based Neural Network for the MinMax Multiple Traveling Salesman Problem
  2021/9/1