Joschka Boedecker

収録論文 39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

• One Hand Watches The Other: Dynamic Multi-Agent Cooperation for Sample-Efficient Bimanual Manipulation in Dynamic Environments
  2026/7/1
• Beyond Self-Play and Scale: A Behavior Benchmark for Generalization in Autonomous Driving
  2026/5/1
• Spectral Alignment in Forward-Backward Representations via Temporal Abstraction
  2026/3/1
• Label-Efficient Point Cloud Segmentation with Active Learning
  2025/12/1
• Driving is a Game: Combining Planning and Prediction with Bayesian Iterative Best Response
  2025/12/1
• Information-Theoretic Policy Pre-Training with Empowerment
  2025/10/1
• Perfect Prediction or Plenty of Proposals? What Matters Most in Planning for Autonomous Driving
  2025/10/1
• MSG: Multi-Stream Generative Policies for Sample-Efficient Robotic Manipulation
  2025/9/1
• Fast ECoT: Efficient Embodied Chain-of-Thought via Thoughts Reuse
  2025/6/1
• The Unreasonable Effectiveness of Discrete-Time Gaussian Process Mixtures for Robot Policy Learning
  2025/5/1
• The Art of Imitation: Learning Long-Horizon Manipulation Tasks from Few Demonstrations
  2024/7/1
• Latent Linear Quadratic Regulator for Robotic Control Tasks
  2024/7/1
• PlanNetX: Learning an Efficient Neural Network Planner from MPC for Longitudinal Control
  2024/4/1
• Hierarchical Insights: Exploiting Structural Similarities for Reliable 3D Semantic Segmentation
  2024/4/1
• Context-Conditional Navigation with a Learning-Based Terrain- and Robot-Aware Dynamics Model
  2023/7/1
• Learning Continuous Control with Geometric Regularity from Robot Intrinsic Symmetry
  2023/6/1
• The Treachery of Images: Bayesian Scene Keypoints for Deep Policy Learning in Robotic Manipulation
  2023/5/1
• Survey on LiDAR Perception in Adverse Weather Conditions
  2023/4/1
• Incorporating Recurrent Reinforcement Learning into Model Predictive Control for Adaptive Control in Autonomous Driving
  2023/1/1
• Safe Imitation Learning of Nonlinear Model Predictive Control for Flexible Robots
  2022/12/1
• A Hierarchical Approach for Strategic Motion Planning in Autonomous Racing
  2022/12/1
• Latent Plans for Task-Agnostic Offline Reinforcement Learning
  2022/9/1
• Affordance Learning from Play for Sample-Efficient Policy Learning
  2022/3/1
• Optimizing Trajectories for Highway Driving with Offline Reinforcement Learning
  2022/3/1
• Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning
  2021/11/1
• Correct Me if I am Wrong: Interactive Learning for Robotic Manipulation
  2021/10/1
• Residual Feedback Learning for Contact-Rich Manipulation Tasks with Uncertainty
  2021/6/1
• Amortized Q-learning with Model-based Action Proposals for Autonomous Driving on Highways
  2020/12/1
• Deep Surrogate Q-Learning for Autonomous Driving
  2020/10/1
• Deep Inverse Q-learning with Constraints
  2020/8/1
• Deep Constrained Q-learning
  2020/3/1
• Dynamic Interaction-Aware Scene Understanding for Reinforcement Learning in Autonomous Driving
  2019/9/1
• Dynamic Input for Deep Reinforcement Learning in Autonomous Driving
  2019/7/1
• Scheduled Intrinsic Drive: A Hierarchical Take on Intrinsically Motivated Exploration
  2019/3/1
• VR-Goggles for Robots: Real-to-sim Domain Adaptation for Visual Control
  2018/2/1
• Acting Thoughts: Towards a Mobile Robotic Service Assistant for Users with Limited Communication Skills
  2017/7/1
• Neural SLAM: Learning to Explore with External Memory
  2017/6/1
• Deep Reinforcement Learning with Successor Features for Navigation across Similar Environments
  2016/12/1
• A Survey of Deep Network Solutions for Learning Control in Robotics: From Reinforcement to Imitation
  2016/12/1