Aleksandra Faust

収録論文 27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

• A2Perf: Real-World Autonomous Agents Benchmark
  2025/3/4
• Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research
  2023/10/1
• SayTap: Language to Quadrupedal Locomotion
  2023/6/1
• Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios
  2022/12/1
• Tiny Robot Learning: Challenges and Directions for Machine Learning in Resource-Constrained Robots
  2022/5/1
• Roofline Model for UAVs: A Bottleneck Analysis Tool for Onboard Compute Characterization of Autonomous Unmanned Aerial Vehicles
  2022/4/1
• Compositional Learning-based Planning for Vision POMDPs
  2021/12/1
• Roofline Model for UAVs:A Bottleneck Analysis Tool for Designing Compute Systems for Autonomous Drones
  2021/11/1
• Multi-Task Learning with Sequence-Conditioned Transporter Networks
  2021/9/1
• AutoPilot: Automating SoC Design Space Exploration for SWaP Constrained Autonomous UAVs
  2021/2/1
• Visual Navigation Among Humans with Optimal Control as a Supervisor
  2020/3/1
• Model-based Reinforcement Learning for Decentralized Multiagent Rendezvous
  2020/3/1
• Learned Critical Probabilistic Roadmaps for Robotic Motion Planning
  2019/10/1
• QuaRL: Quantization for Fast and Environmentally Sustainable Reinforcement Learning
  2019/10/1
• Neural Collision Clearance Estimator for Batched Motion Planning
  2019/10/1
• Zero-shot Imitation Learning from Demonstrations for Legged Robot Visual Navigation
  2019/9/1
• Learning to Seek: Autonomous Source Seeking with Deep Reinforcement Learning Onboard a Nano Drone Microcontroller
  2019/9/1
• RL-RRT: Kinodynamic Motion Planning via Learning Reachability Estimators from RL Policies
  2019/7/1
• Air Learning: A Deep Reinforcement Learning Gym for Autonomous Aerial Robot Visual Navigation
  2019/6/1
• The Role of Compute in Autonomous Aerial Vehicles
  2019/6/1
• MAVBench: Micro Aerial Vehicle Benchmarking
  2019/5/1
• Long-Range Indoor Navigation with PRM-RL
  2019/2/1
• PEARL: PrEference Appraisal Reinforcement Learning for Motion Planning
  2018/11/1
• Learning Navigation Behaviors End-to-End with AutoRL
  2018/9/1
• FollowNet: Robot Navigation by Following Natural Language Directions with Deep Reinforcement Learning
  2018/5/1
• Deep Neural Networks for Swept Volume Prediction Between Configurations
  2018/5/1
• PRM-RL: Long-range Robotic Navigation Tasks by Combining Reinforcement Learning and Sampling-based Planning
  2017/10/1