To pursue richer common sense physical intuition in AI systems, we take, at multiple points in our work, inspiration from developmental psychology, where the acquisition of intuitive physics knowledge has been a
The environment is compliant with OpenAI Gym, using the MuJoCo realistic physics engine for a realistic simulation. A brief comparison of the convergence of different RL algorithms is performed. Several ball weights and various types of materials correspondent to bocce and boccia are tested, as well...
whereαis the relative weighting of the residual physics loss function;βis the regularization parameter;∥ ⋅ ∥0represents theℓ0norm. Optimizing the total loss function can produce a DNN that can not only predict the data-driven full-field system response, but also uncover the parsimon...
deep learninggraphenehexagonal boron nitridestructure–property relationsStructure-property maps play a key role in accelerated materials discovery. The current norm for developing these maps includes computationally expensive physics-based simulations. Here, the capabilities of deep learning agents are explored...
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(2015), who introduce a deep learning reinforcement algorithm that solves more than 20 simulated physics tasks, including classic problems such as cartpole swing-up, dexterous manipulation, legged locomotion and car driving. As for the mobile robotics tasks, Zhang, Springenberg, Boedecker and Burgard...
This change is based on the metaphor of momentum from physics where acceleration in a direction can be accumulated from past updates. The name momentum derives from a physical analogy, in which the negative gradient is a force moving a particle through parameter space, according to Newton’s law...
degree in Machine Learning with distinction from the Department of Computing, Imperial College London, supervised by Dr. Edward Johns. He holds double Bachelor degrees from the University of Science and Technology of China: in Photoelectric Information Science and Engineering (Physics) and in Computer...
You might start with a generic Vehicle class that includes traits common to all vehicles, such as the basic physics of movement. You might then create three subclasses: GroundVehicle, WaterVehicle, and AirVehicle. These classes would alter or introduce traits specific to ground, water, and air...
sym.lossimportLoss,PointwiseLossNormfromphysicsnemo.sym.distributedimportDistributedManagerfromphysicsnemo.sym.utils.io.vtkimportgrid_to_vtkfromphysicsnemo.sym.datasetimportDataset,IterableDataset,DictGridDatasetlogger=logging.getLogger(__name__) [docs]classSupervisedGridConstraint(Constraint):""...