Zobrazeno 1 - 10
of 8 144
pro vyhledávání: '"BROWN, P. S."'
Recent breakthroughs in machine learning and artificial intelligence, fueled by scientific data, are revolutionizing the discovery of new materials. Despite the wealth of existing scientific literature, the availability of both structured experimenta
Externí odkaz:
http://arxiv.org/abs/2410.03963
Nambu-determinant brackets on $R^d\ni x=(x^1,...,x^d)$, $\{f,g\}_d(x)=\rho(x) \det(\partial(f,g,a_1,...,a_{d-2})/\partial(x^1,...,x^d))$, with $a_i\in C^\infty(R^d)$ and $\rho\partial_x\in\mathfrak{X}^d(R^d)$, are a class of Poisson structures with (
Externí odkaz:
http://arxiv.org/abs/2409.18875
Kontsevich constructed a map between `good' graph cocycles $\gamma$ and infinitesimal deformations of Poisson bivectors on affine manifolds, that is, Poisson cocycles in the second Lichnerowicz--Poisson cohomology. For the tetrahedral graph cocycle $
Externí odkaz:
http://arxiv.org/abs/2409.15932
Kontsevich constructed a map from suitable cocycles in the graph complex to infinitesimal deformations of Poisson bi-vector fields. Under the deformations, the bi-vector fields remain Poisson. We ask, are these deformations trivial, meaning, do they
Externí odkaz:
http://arxiv.org/abs/2409.12555
We study the problem of cross-embodiment inverse reinforcement learning, where we wish to learn a reward function from video demonstrations in one or more embodiments and then transfer the learned reward to a different embodiment (e.g., different act
Externí odkaz:
http://arxiv.org/abs/2408.05610
A popular method for enhancing images involves learning the style of a professional photo editor using pairs of training images comprised of the original input with the editor-enhanced version. When manipulating images, many editing tools offer a fea
Externí odkaz:
http://arxiv.org/abs/2407.09892
Autor:
Brown, Jonathan S.
We use variations on Lax type operators to find explicit formulas for certain elements of finite $W$-algebras. These give a complete set of generators for all finite $W$-algebras of types B,C,D for which the Dynkin grading is even.
Externí odkaz:
http://arxiv.org/abs/2406.07350
Publikováno v:
2024 International Symposium on Medical Robotics (ISMR), pp. 1-7, 2024
Automating robotic surgery via learning from demonstration (LfD) techniques is extremely challenging. This is because surgical tasks often involve sequential decision-making processes with complex interactions of physical objects and have low toleran
Externí odkaz:
http://arxiv.org/abs/2404.07185
Tendon-driven continuum robot kinematic models are frequently computationally expensive, inaccurate due to unmodeled effects, or both. In particular, unmodeled effects produce uncertainties that arise during the robot's operation that lead to variabi
Externí odkaz:
http://arxiv.org/abs/2404.04241
It is crucial for robots to be aware of the presence of constraints in order to acquire safe policies. However, explicitly specifying all constraints in an environment can be a challenging task. State-of-the-art constraint inference algorithms learn
Externí odkaz:
http://arxiv.org/abs/2403.02431