Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: A Compositional Object-Based Approach to Learning Physical Dynamics
Learning physics from dynamical scenes
Spatial Generalization from Learning Dynamics of Reaching Movements
Physically based models with rigid and deformable components
Dynamical Movement Primitives: Learning Attractor Models for Motor Behaviors
Ego-motion and Tracking for Continuous Object Learning: A Brief Survey
Learning to Schedule Control Fragments for Physics-Based Characters Using Deep Q-Learning
Similarity-based Approaches to Learning from Demonstration
A Differentiable Physics Engine for Deep Learning in Robotics
Motion Perception in Reinforcement Learning with Dynamic Objects
Position-based rigid-body dynamics
Navigation Among Movable Obstacles with learned dynamic constraints
Data-driven physics for human soft tissue animation
A Fast, Robust, and Incremental Model for Learning High-Level Concepts From Human Motions by Imitation
Explicit Modeling of Human-Object Interactions in Realistic Videos
Centroidal dynamics of a humanoid robot
Control strategies in object manipulation tasks
A Robot Learning to Play a Mobile Game Under Unknown Dynamics
Automated learning of muscle-actuated locomotion through control abstraction
Deep Object-Centric Representations for Generalizable Robot Learning
Robust realtime physics-based motion control for human grasping
PAIRS: A scalable geo-spatial data analytics platform
Evolutionary Algorithms in Aircraft Trim Optimization
Internal physics models guide probabilistic judgments about object dynamics
Med-Tree: A user knowledge graph framework for medical applications
Building LinkedIn's Real-time Activity Data Pipeline