David Fridovich-Keil

収録論文 45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

• MixedComplementarityProblems.jl: A Fast, Batched, Open-Source Interior Point Solver for Mixed Complementarity Problems
  2026/8/1
• Neural Operators for Multi-Task Control and Adaptation
  2026/4/3
• Simulation Distillation: Pretraining World Models in Simulation for Rapid Real-World Adaptation
  2026/3/16
• Simulation Distillation: Pretraining World Models in Simulation for Rapid Real-World Adaptation
  2026/3/1
• When Should Agents Coordinate in Differentiable Sequential Decision Problems?
  2026/2/1
• Efficiently Solving Mixed-Hierarchy Games with Quasi-Policy Approximations
  2026/2/1
• Generalized Information Gathering Under Dynamics Uncertainty
  2026/1/1
• Game-Theoretic Autonomous Driving: A Graphs of Convex Sets Approach
  2026/1/1
• Bayesian Inverse Games with High-Dimensional Multi-Modal Observations
  2026/1/1
• Data-Driven Modeling and Correction of Vehicle Dynamics
  2025/12/1
• UNCAP: Uncertainty-Guided Neurosymbolic Planning Using Natural Language Communication for Cooperative Autonomous Vehicles
  2025/10/1
• Act Natural! Extending Naturalistic Projection to Multimodal Behavior Scenarios
  2025/5/1
• SHIELD: Safety on Humanoids via CBFs In Expectation on Learned Dynamics
  2025/5/1
• A Player Selection Network for Scalable Game-Theoretic Prediction and Planning
  2025/5/1
• Meta-Learning Online Dynamics Model Adaptation in Off-Road Autonomous Driving
  2025/4/1
• A Multi-Fidelity Control Variate Approach for Policy Gradient Estimation
  2025/3/1
• Inferring Foresightedness in Dynamic Noncooperative Games
  2024/12/1
• Approximate Feedback Nash Equilibria with Sparse Inter-Agent Dependencies
  2024/10/1
• Learning responsibility allocations for multi-agent interactions: A differentiable optimization approach with control barrier functions
  2024/10/1
• Learning to Walk from Three Minutes of Real-World Data with Semi-structured Dynamics Models
  2024/10/1
• Auto-Encoding Bayesian Inverse Games
  2024/2/1
• Learning Hyperplanes for Multi-Agent Collision Avoidance in Space
  2023/11/1
• Connected Autonomous Vehicle Motion Planning with Video Predictions from Smart, Self-Supervised Infrastructure
  2023/9/1
• Enabling Efficient, Reliable Real-World Reinforcement Learning with Approximate Physics-Based Models
  2023/7/1
• Contingency Games for Multi-Agent Interaction
  2023/4/1
• Online and Offline Learning of Player Objectives from Partial Observations in Dynamic Games
  2023/2/1
• Cost Inference for Feedback Dynamic Games from Noisy Partial State Observations and Incomplete Trajectories
  2023/1/1
• Robust Forecasting for Robotic Control: A Game-Theoretic Approach
  2022/9/1
• Self-Supervised Traffic Advisors: Distributed, Multi-view Traffic Prediction for Smart Cities
  2022/4/1
• GTP-SLAM: Game-Theoretic Priors for Simultaneous Localization and Mapping in Multi-Agent Scenarios
  2022/3/1
• Hierarchical Control for Head-to-Head Autonomous Racing
  2022/2/1
• Back to the Future: Efficient, Time-Consistent Solutions in Reach-Avoid Games
  2021/9/1
• Inferring Objectives in Continuous Dynamic Games from Noise-Corrupted Partial State Observations
  2021/6/1
• The Computation of Approximate Generalized Feedback Nash Equilibria
  2021/1/1
• Approximate Solutions to a Class of Reachability Games
  2020/11/1
• Encoding Defensive Driving as a Dynamic Nash Game
  2020/11/1
• Multi-Hypothesis Interactions in Game-Theoretic Motion Planning
  2020/11/1
• Inference-Based Strategy Alignment for General-Sum Differential Games
  2020/2/1
• An Iterative Quadratic Method for General-Sum Differential Games with Feedback Linearizable Dynamics
  2019/10/1
• Efficient Iterative Linear-Quadratic Approximations for Nonlinear Multi-Player General-Sum Differential Games
  2019/9/1
• Safely Probabilistically Complete Real-Time Planning and Exploration in Unknown Environments
  2018/11/1
• A Scalable Framework For Real-Time Multi-Robot, Multi-Human Collision Avoidance
  2018/11/1
• A Successive-Elimination Approach to Adaptive Robotic Sensing
  2018/9/1
• Probabilistically Safe Robot Planning with Confidence-Based Human Predictions
  2018/6/1
• A Classification-based Approach for Approximate Reachability
  2018/3/1