Friction
47 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Friction
Most implemented papers
An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents
uber-research/atari-model-zoo
•
•
We lessen this friction, by (1) training several algorithms at scale and releasing trained models, (2) integrating with a previous Deep RL model release, and (3) releasing code that makes it easy for anyone to load, visualize, and analyze such models.
Conformal Symplectic and Relativistic Optimization
Arguably, the two most popular accelerated or momentum-based optimization methods in machine learning are Nesterov's accelerated gradient and Polyaks's heavy ball, both corresponding to different discretizations of a particular second order differential equation with friction.
"Quantum Equilibrium-Disequilibrium": Asset Price Dynamics, Symmetry Breaking, and Defaults as Dissipative Instantons
Using a linear market impact model, this produces a non-linear two-parametric extension of the classical Geometric Brownian Motion (GBM) model, that we call the "Quantum Equilibrium-Disequilibrium" (QED) model.
Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Rewards
Connector insertion and many other tasks commonly found in modern manufacturing settings involve complex contact dynamics and friction.
Machine Learning Approach to Earthquake Rupture Dynamics
To reduce the computational cost and improve our ability to determine reasonable stress and friction parameters, we take advantage of the machine learning approach.
NoduleNet: Decoupled False Positive Reductionfor Pulmonary Nodule Detection and Segmentation
Pulmonary nodule detection, false positive reduction and segmentation represent three of the most common tasks in the computeraided analysis of chest CT images.
Estimating uncertainty of earthquake rupture using Bayesian neural network
In this work, a BNN has been used (1) to combat the small data problem and (2) to find out the parameter combinations responsible for earthquake rupture and (3) to estimate the uncertainty associated with earthquake rupture.
Teaching Cameras to Feel: Estimating Tactile Physical Properties of Surfaces From Images
The connection between visual input and tactile sensing is critical for object manipulation tasks such as grasping and pushing.
Online system identification in a Duffing oscillator by free energy minimisation
Online system identification is the estimation of parameters of a dynamical system, such as mass or friction coefficients, for each measurement of the input and output signals.
CMAX++ : Leveraging Experience in Planning and Execution using Inaccurate Models
In this paper we propose CMAX++, an approach that leverages real-world experience to improve the quality of resulting plans over successive repetitions of a robotic task.
