Jingda Wu

収録論文 16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

• 狭所における自律地上ナビゲーション：ICRA 2024第3回BARNチャレンジからの教訓
  ナビゲーション2024/7/1

  ICRA 2024で開催された第3回BARNチャレンジを通じて、狭く制約の厳しい環境での自律地上ナビゲーション技術の現状を評価し、上位チームの手法と今後の課題を分析した。

• 事前学習済みTransformerと人間ガイド微調整による自動運転のエンドツーエンドナビゲーション
  自動運転/エンドツーエンド2024/2/1

  Transformerを組み込んだ方策ネットワークを行動クローニングで事前学習し、人間の指導付き強化学習で微調整することで、自動運転のエンドツーエンド制御の安全性と汎化性能を高める手法を提案した。

• Learning Interaction-aware Motion Prediction Model for Decision-making in Autonomous Driving
  2023/2/1
• Conditional Predictive Behavior Planning with Inverse Reinforcement Learning for Human-like Autonomous Driving
  2022/12/1
• Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges
  2022/11/1
• Differentiable Integrated Motion Prediction and Planning with Learnable Cost Function for Autonomous Driving
  2022/7/1
• Safe Decision-making for Lane-change of Autonomous Vehicles via Human Demonstration-aided Reinforcement Learning
  2022/7/1
• Sampling Efficient Deep Reinforcement Learning through Preference-Guided Stochastic Exploration
  2022/6/1
• Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed Traffic Environments
  2022/1/1
• Prioritized Experience-based Reinforcement Learning with Human Guidance for Autonomous Driving
  2021/9/1
• Uncertainty-Aware Model-Based Reinforcement Learning with Application to Autonomous Driving
  2021/6/1
• Human-in-the-Loop Deep Reinforcement Learning with Application to Autonomous Driving
  2021/4/1
• Efficient Deep Reinforcement Learning with Imitative Expert Priors for Autonomous Driving
  2021/3/1
• Improved Deep Reinforcement Learning with Expert Demonstrations for Urban Autonomous Driving
  2021/2/1
• Driving Behavior Modeling using Naturalistic Human Driving Data with Inverse Reinforcement Learning
  2020/10/1
• Multi-modal Sensor Fusion-Based Deep Neural Network for End-to-end Autonomous Driving with Scene Understanding
  2020/5/1