Achieved all-orders worldline action for Kerr black hole.
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Effective action for Kerr-Newman black hole found in twistor theory.
We relate in this note the classical Schwarzian derivative to the curvature of time-like curves in Lorentz surfaces of constant curvature.
The paper proves a Hawking-type singularity theorem using worldvolume quantum strong energy inequalities.
Enhances Ricci flow theorem with scalar curvature bound.
A common approach to metric-affine, local Poincaré, special-relativistic and Galilei spacetime geometry is developed. Starting from an affine composite bundle, we introduce local reference frames and their evolution along worldlines and we study both, absolute and relative simultaneity postulates, giving rise to altern…
We apply the geometric-topology surgery theory on spacetime manifolds to study the constraints of quantum statistics data in 2+1 and 3+1 spacetime dimensions. First, we introduce the fusion data for worldline and worldsheet operators capable creating anyon excitations of particles and strings, well-defined in gapped st…
New estimator improves off-policy evaluation for large action spaces.
Let , , be a compact, simply connected -manifold which admits some Riemannian metric with non-negative curvature and an isometry group of maximal possible rank. Then any smooth, effective action on by a torus is equivariantly diffeomorphic to an isometric action on a normal biqu…
Let M be a compact, connected symplectic 2n-dimensional manifold on which an(n-2)-dimensional torus T acts effectively and Hamiltonianly. Under the assumption that there is an effective complementary 2-torus acting on M with symplectic orbits, we show that the Duistermaat-Heckman measure of the T-action is log-concave.…
We obtain an Einstein metric of constant negative curvature given an arbitrary boundary metric in three dimensions, and a conformally flat one given an arbitrary conformally flat boundary metric in other dimensions. In order to compute the on-shell value of the gravitational action for these solutions, we propose to in…
We study a class of supersymmetric spinning particle models derived from the radial quantization of stationary, spherically symmetric black holes of four dimensional N= 2 supergravities. By virtue of the c-map, these spinning particles move in quaternionic Kaehler manifolds. Their spinning degrees of freedom describe m…
Develops Palatini formalism in generalized geometry for string theory.
We propose a tool-use model that can detect the features of tools, target objects, and actions from the provided effects of object manipulation. We construct a model that enables robots to manipulate objects with tools, using infant learning as a concept. To realize this, we train sensory-motor data recorded during a t…
Compact Lie group actions with a free point are determined by two vector fields.
UTE improves reinforcement learning by measuring action uncertainty, enhancing policy learning efficiency.
According to the work of Laitinen, Morimoto, Oliver and Pawałowski, a finite group has a smooth effective one fixed point action on some sphere if and only if is an Oliver group. For some finite Oliver groups of order up to , and for for , we present a strategy of excluding o…
RODE learns roles to simplify multi-agent tasks.
Regularizes predictions to encourage beneficial user actions.
Mid-training improves RL by identifying compact action abstractions.
We consider spacetimes consisting of a manifold with Lorentzian metric and a weight function or scalar field. These spacetimes admit a Bakry-Émery-Ricci tensor which is a natural generalization of the Ricci tensor. We impose an energy condition on the Bakry-Émery-Ricci tensor and obtain singularity theorems of a cosmol…
A new method learns action representations for reinforcement learning.
We introduce a method for learning the dynamics of complex nonlinear systems based on deep generative models over temporal segments of states and actions. Unlike dynamics models that operate over individual discrete timesteps, we learn the distribution over future state trajectories conditioned on past state, past acti…
Q-chunking improves RL for long tasks by chunking actions.
Advanced driver assistance systems (ADAS) can be significantly improved with effective driver action prediction (DAP). Predicting driver actions early and accurately can help mitigate the effects of potentially unsafe driving behaviors and avoid possible accidents. In this paper, we formulate driver action prediction a…
Equations of motion of low-energy string effective actions can be conveniently described in terms of generalized geometry and Levi-Civita connections on Courant algebroids. This approach is used to propose and prove a suitable version of the Kaluza-Klein-like reduction. Necessary geometrical tools are recalled.
In this paper, it is shown that non-isomorphic effective linear circle actions yield non-diffeomorphic differential structures on the corresponding orbit spaces.
For a particular class of backgrounds, equations of motion for string sigma models targeted in mutually dual Poisson-Lie groups are equivalent. This phenomenon is called the Poisson-Lie T-duality. On the level of the corresponding string effective actions, the situation becomes more complicated due to the presence of t…
Proposes MDR estimator for unbiased OPE with large action spaces.
We prove a conjecture about hypersymplectic structures on 4-manifolds with circle action.
We construct a function of the edge-lengths of a triangulated surface whose variation under a rescaling of all the edges that meet at a vertex is the defect angle at that vertex. We interpret this function as a gravitational effective action on the triangulation, and the variation as a trace anomaly.
It is well-known by the work of Hsiang and Kleiner that every closed oriented positively curved 4-dimensional manifold with an effective isometric S^1-action is homeomorphic to S^4 or CP^2. As stated, it is a topological classification. The primary goal of this paper is to show that it is indeed a diffeomorphism classi…
New method for evaluating and learning in complex decision-making scenarios.
We point out that a 4-dimensional topological manifold with an Alexandrov metric (of curvature bounded below) and with an effective, isometric action of the circle or the 2-torus is locally smooth. This observation implies that the topological and equivariant classifications of compact, simply connected Riemannian 4-ma…
Proposes meTS for efficient exploration in correlated bandits.
Let be a compact Lie group acting effectively by isometries on a compact Riemannian manifold with nonempty fixed point set . We say that the action is \emph{fixed point homogeneous} if acts transitively on a normal sphere to some component of , equivalently, if has codimension…
New algorithm allows IGL to work with action-inclusive feedback.
Study of timelike surfaces with time-minimizing rulings in Newtonian and relativistic spacetimes.
A proof is given that the maximal Fermi coordinate chart for any comoving observer in a broad class of Robertson-Walker spacetimes consists of all events within the cosmological event horizon, if there is one, or is otherwise global. Exact formulas for the metric coefficients in Fermi coordinates are derived. Sharp uni…
A new approach to reinforcement learning improves policy performance by adjusting control frequency.
Study finite group actions on manifolds with non-zero degree maps to nilmanifolds.
New approach improves black-box planning efficiency by discovering focused macros.
A CNN-DRL model improves learning in finance with scalable actions.
New derivation shows spacetime interval is quadratic without light.
Kernel method estimates long-term effects from short-term data.
The aim of this paper is to give an upper bound for the dimension of a torus which acts on a GKM manifold effectively. In order to do that, we introduce a free abelian group of finite rank, denoted by , from an (abstract) -type GKM graph . Here, an -type GKM …
Consider an effective Hamiltonian torus action on a topologically twisted,generalized complex manifold of dimension . We prove that the and that the topological twisting survives Hamiltonian reduction. We then construct a large new class of such actions satisfying $rank(T) =…
hyperSBINN improves drug cardiosafety assessment by efficiently modeling cardiac action potentials.