Stefano V. Albrecht

収録論文 22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

• Assistax: A Multi-Agent Hardware-Accelerated Reinforcement Learning Benchmark for Assistive Robotics
  2025/7/1
• HAD-Gen: Human-like and Diverse Driving Behavior Modeling for Controllable Scenario Generation
  2025/3/1
• Agent-Temporal Credit Assignment for Optimal Policy Preservation in Sparse Multi-Agent Reinforcement Learning
  2024/12/1
• Skill-aware Mutual Information Optimisation for Generalisation in Reinforcement Learning
  2024/6/1
• LLM-Personalize: Aligning LLM Planners with Human Preferences via Reinforced Self-Training for Housekeeping Robots
  2024/4/1
• People Attribute Purpose to Autonomous Vehicles When Explaining Their Behavior: Insights from Cognitive Science for Explainable AI
  2024/3/1
• Explainable AI for Safe and Trustworthy Autonomous Driving: A Systematic Review
  2024/2/1
• Causal Explanations for Sequential Decision-Making in Multi-Agent Systems
  2023/2/1
• Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers
  2022/12/1
• Planning with Occluded Traffic Agents using Bi-Level Variational Occlusion Models
  2022/10/1
• DiPA: Probabilistic Multi-Modal Interactive Prediction for Autonomous Driving
  2022/10/1
• Perspectives on the System-level Design of a Safe Autonomous Driving Stack
  2022/8/1
• A Human-Centric Method for Generating Causal Explanations in Natural Language for Autonomous Vehicle Motion Planning
  2022/6/1
• Verifiable Goal Recognition for Autonomous Driving with Occlusions
  2022/6/1
• MIDGARD: A Simulation Platform for Autonomous Navigation in Unstructured Environments
  2022/5/1
• Flash: Fast and Light Motion Prediction for Autonomous Driving with Bayesian Inverse Planning and Learned Motion Profiles
  2022/3/1
• Interpretable Goal Recognition in the Presence of Occluded Factors for Autonomous Vehicles
  2021/8/1
• GRIT: Fast, Interpretable, and Verifiable Goal Recognition with Learned Decision Trees for Autonomous Driving
  2021/3/1
• PILOT: Efficient Planning by Imitation Learning and Optimisation for Safe Autonomous Driving
  2020/11/1
• A Two-Stage Optimization-based Motion Planner for Safe Urban Driving
  2020/2/1
• Interpretable Goal-based Prediction and Planning for Autonomous Driving
  2020/2/1
• Exploiting Causality for Selective Belief Filtering in Dynamic Bayesian Networks (Extended Abstract)
  2019/7/1