Jinkyoo Park

収録論文 14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

• EvoNav: Evolutionary Reward Function Design for Robot Navigation with Large Language Models
  2026/5/1
• Cooperative Informative Sensing for Monitoring Dynamic Indoor Environments via Multi-Agent Reinforcement Learning
  2026/4/1
• Priority-Aware Multi-Robot Coverage Path Planning
  2026/1/1
• TrajEvo: Trajectory Prediction Heuristics Design via LLM-driven Evolution
  2025/8/1
• TrajEvo: Designing Trajectory Prediction Heuristics via LLM-driven Evolution
  2025/5/1
• Human Implicit Preference-Based Policy Fine-tuning for Multi-Agent Reinforcement Learning in USV Swarm
  2025/3/1
• Distributed Online Planning for Min-Max Problems in Networked Markov Games
  2024/5/1
• Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding
  2024/3/1
• HiMAP: Learning Heuristics-Informed Policies for Large-Scale Multi-Agent Pathfinding
  2024/2/1
• Multi-Agent Dynamic Relational Reasoning for Social Robot Navigation
  2024/1/1
• Interactive Autonomous Navigation with Internal State Inference and Interactivity Estimation
  2023/11/1
• Robust Driving Policy Learning with Guided Meta Reinforcement Learning
  2023/7/1
• EvolveHypergraph: Group-Aware Dynamic Relational Reasoning for Trajectory Prediction
  2022/8/1
• Learning NP-Hard Multi-Agent Assignment Planning using GNN: Inference on a Random Graph and Provable Auction-Fitted Q-learning
  2019/5/1