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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,695 papers · 148 categories

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153305458610 · Jun 202019922001200920172026
48 results for worldline effective action

The paper proves a Hawking-type singularity theorem using worldvolume quantum strong energy inequalities.

problem Improving classical singularity theorems with weakened energy conditions.
method Integral Ricci curvature bounds based on worldvolume quantum strong energy inequalities.
result Past geodesic incompleteness proven in cosmological scenarios.

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…

2014-07-30abs ↗pdf ↗

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…

2016-02-18abs ↗pdf ↗

New estimator improves off-policy evaluation for large action spaces.

problem Conventional importance-weighting approaches suffer from excessive variance in off-policy evaluation for large discrete action spaces.
method Proposes OffCEM estimator based on conjunct effect model (CEM), applying importance weighting only to action clusters and using model-based reward estimation for residual effects.
result Proposed estimator is unbiased under local correctness condition, providing substantial improvements in OPE especially with many actions.

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.…

2012-07-05abs ↗pdf ↗

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…

1999-10-04abs ↗pdf ↗

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…

2010-03-11abs ↗pdf ↗

Develops Palatini formalism in generalized geometry for string theory.

problem Formulating Palatini variation in generalized geometry.
method Palatini formalism within generalized Riemannian geometry of Courant algebroids.
result Natural emergence of generalized Levi-Civita connection and string effective actions.

Compact Lie group actions with a free point are determined by two vector fields.

problem Understanding actions of compact Lie groups with a free point.
method Proving the existence of two vector fields whose group of automorphisms equals the Lie group.
result There exist two complete vector fields whose group of automorphisms equals the Lie group.

UTE improves reinforcement learning by measuring action uncertainty, enhancing policy learning efficiency.

problem Degrading performance of action repetition in reinforcement learning, especially with sub-optimal actions.
method UTE uses ensemble methods to measure uncertainty during action extension, allowing strategic exploration or certainty.
result UTE outperforms existing action repetition algorithms, significantly enhancing policy learning efficiency.

Mid-training improves RL by identifying compact action abstractions.

problem Unlocking full potential of RL with large language models.
method RA3 algorithm that optimizes sequential variational lower bound and discovers latent structures via RL.
result Improves performance by 8 points on HumanEval and 4 points on MBPP.

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…

2013-12-12abs ↗pdf ↗

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…

2017-03-12abs ↗pdf ↗

We prove a conjecture about hypersymplectic structures on 4-manifolds with circle action.

problem Proving Donaldson's conjecture about hypersymplectic structures.
method Using an effective S^1-action, we deform hypersymplectic structures to hyperkähler triples.
result The underlying 4-manifold is diffeomorphic to T^4.

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.

2005-12-22abs ↗pdf ↗

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…

2008-10-07abs ↗pdf ↗

New method for evaluating and learning in complex decision-making scenarios.

problem Evaluating and learning from policies in contextual combinatorial bandits with high bias and variance.
method Factored action space decomposition and importance sampling-based estimator (OPCB).
result OPCB achieves superior performance in OPE and OPL compared to conventional methods.

Let GG be a compact Lie group acting effectively by isometries on a compact Riemannian manifold MM with nonempty fixed point set Fix(M,G)Fix(M,G). We say that the action is \emph{fixed point homogeneous} if GG acts transitively on a normal sphere to some component of Fix(M,G)Fix(M,G), equivalently, if Fix(M,G)Fix(M,G) has codimension…

2011-05-03abs ↗pdf ↗

Study of timelike surfaces with time-minimizing rulings in Newtonian and relativistic spacetimes.

problem Understanding time-minimizing paths in spacetime geometries.
method Constructing timelike surfaces ruled by geodesics of Finsler or Jacobi metrics.
result Explicit examples of brachistochrone-ruled timelike surfaces in Minkowski and Schwarzschild 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…

2012-10-29abs ↗pdf ↗

A new approach to reinforcement learning improves policy performance by adjusting control frequency.

problem Improving reinforcement learning performance by optimizing control frequency.
method Introducing action persistence and a novel algorithm, PFQI, to learn optimal value function at a given persistence.
result PFQI effectively learns optimal value function with action persistence, improving reinforcement learning performance.

Study finite group actions on manifolds with non-zero degree maps to nilmanifolds.

problem Understanding finite group actions on manifolds with specific properties.
method Analyzes effective actions, bounds discrete degrees, studies toral rank conjecture, and introduces iterated actions.
result Proves Homeo(M) is Jordan and bounds the discrete degree of symmetry.

New approach improves black-box planning efficiency by discovering focused macros.

problem Difficulty of deterministic planning increases exponentially with depth.
method Discovering macro-actions with focused effects to improve goal-count heuristics.
result Focused macros dramatically improve black-box planning efficiency.

The aim of this paper is to give an upper bound for the dimension of a torus TT which acts on a GKM manifold MM effectively. In order to do that, we introduce a free abelian group of finite rank, denoted by A(Γ,α,)\mathcal{A}(Γ,α,\nabla), from an (abstract) (m,n)(m,n)-type GKM graph (Γ,α,)(Γ,α,\nabla). Here, an (m,n)(m,n)-type GKM …

2015-10-25abs ↗pdf ↗

Consider an effective Hamiltonian torus action T×MMT\times M \to M on a topologically twisted,generalized complex manifold MM of dimension 2n2n. We prove that the rank(T)n2rank(T) \leq n-2 and that the topological twisting survives Hamiltonian reduction. We then construct a large new class of such actions satisfying $rank(T) =…

2009-04-07abs ↗pdf ↗

hyperSBINN improves drug cardiosafety assessment by efficiently modeling cardiac action potentials.

problem Complexity and limited data in modeling cardiac effects of drugs.
method Combining meta-learning with SBINNs to solve parameterized cardiac action potential models.
result hyperSBINN outperforms traditional solvers in speed and accuracy for predicting APD90 values.