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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.

169,051 papers · 148 categories

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48 results for complex effective action

Study finite deformations from heterotic superpotential, leading to new complex effective action.

problem Finite deformations of the Hull--Strominger system.
method Expanding the heterotic superpotential around a supersymmetric vacuum, identifying complex coordinates, and using Maurer--Cartan equation.
result Generalizes complex effective action of Kodaira--Spencer and holomorphic Chern--Simons theory, with a supersymmetric locus described by an L3L_3 algebra.

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 ↗

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 ↗

This paper provides theoretical foundations for using quantized actions in behavior cloning.

problem Applying autoregressive models to continuous control requires discretizing actions through quantization, which is poorly understood.
method The paper analyzes quantization error propagation and statistical sample complexity, and proposes model-based augmentation.
result Behavior cloning with quantized actions achieves optimal sample complexity, matching existing lower bounds.

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.

We give the diffeomorphism classification of complete intersections with S^1-symmetry in dimension less than or equal to 6. In particular, we show that a 6-dimensional complete intersection admits a smooth non-trivial S^1-action if and only if it is diffeomorphic to the complex projective space or the quadric. We also …

2011-08-26abs ↗pdf ↗

Abstract: Necessary and sufficient conditions for circle actions on 4-manifolds with discrete fixed points.

problem Conditions for circle actions on 4-manifolds with discrete fixed points.
method Demonstrated pairs of integers that arise as weights of a circle action also arise as weights of a restriction of a T2\mathbb{T}^2-action.
result Provided necessary and sufficient conditions for pairs of integers to arise as weights and Chern numbers of circle actions.

Study of curves in rational surfaces using multisections and torus actions.

problem Understanding curves in rational surfaces using multisections and torus actions.
method Analysis of multisections of embedded surfaces in rational 4-manifolds with torus actions.
result Every smooth, complex curve in CP^1 × CP^1 can be put in efficient bridge position with respect to a genus one 4-section.

On a generalized complex manifold there is an associated definition of a generalized holomorphic bundle, introduced by Gualtieri. This notion in the case of an ordinary complex structure yields an object which we call a co-Higgs bundle and we consider the B-field action of a closed form of type (1,1), both local and gl…

2010-10-01abs ↗pdf ↗

We construct new families of quasimorphisms on many groups acting on CAT(0) cube complexes. These quasimorphisms have a uniformly bounded defect of 12, and they "see" all elements that act hyperbolically on the cube complex. We deduce that all such elements have stable commutator length at least 1/24. The group actions…

2016-02-18abs ↗pdf ↗

We explicitly classify all pairs (M,G)(M,G), where MM is a connected complex manifold of dimension n2n\ge 2 and GG is a connected Lie group acting properly and effectively on MM by holomorphic transformations and having dimension dGd_G satisfying n2+2dG<n2+2nn^2+2\le d_G<n^2+2n. These results extend -- in the complex case -- the…

2006-10-10abs ↗pdf ↗

Proposes a bilinear form to efficiently represent high-order temporal action information.

problem Efficiently capturing subtle and precise actions in long videos.
method Low-rank frontal tensors and bilinear form for extracting high-order information.
result Bilinear form outperforms state-of-the-art methods on temporal action segmentation.

Curved 10-manifolds with torus symmetry are spheres or complex projective spaces.

problem Characterizing positively curved manifolds with torus symmetry.
method Analyzing actions of 33-dimensional tori on closed, simply connected 10-manifolds.
result Closed, simply connected, positively curved 10-manifolds with T3T^3-symmetry are homotopy spheres or complex projective spaces.

AR CI framework handles complex confounders and sequential actions.

problem Low-dimensional confounders and singleton actions in causal inference.
method Sequencification to transform data into sequences, enabling CI with complex confounders and sequential actions.
result AR model can estimate multiple causal quantities using a single model, simplifying inference and improving outcome prediction.

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.

We consider Fano manifolds admitting an algebraic torus action with general orbit of codimension one. Using a recent result of Datar and Szekelyhidi, we effectively determine the existence of Kahler-Ricci solitons for those manifolds via the notion of equivariant K-stability. This allows us to give new examples of Kahl…

2015-07-16abs ↗pdf ↗

We define a "circle Euler characteristic" of a circle action on a compact manifold or finite complex X. It lies in the first Hochschild homology group of ZG where G is the fundamental group of X. It is analogous in many ways to the ordinary Euler characteristic. One application is an intuitively satisfying formula for …

1998-10-27abs ↗pdf ↗

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 ↗

SAVO actor improves reinforcement learning by avoiding local optima in complex Q-functions.

problem Gradient ascent in complex Q-functions leads to suboptimal solutions.
method SAVO actor generates multiple action proposals and truncates poor local optima.
result SAVO actor finds optimal actions more frequently and outperforms other architectures.

Approximate models help RL by reducing policy search space.

problem How much does an approximate model help in learning near-optimal policies in RL?
method Study sample complexity in RL with an approximate model, providing an algorithm and a lower bound.
result An approximate model can reduce sample complexity by eliminating sub-optimal actions.

A new reinforcement learning method reduces action complexity for robust control.

problem Deep reinforcement learning's susceptibility to spurious correlations.
method Minimizing trajectory entropy to encourage simple, predictable actions.
result Trajectory Entropy Reinforcement Learning achieves superior performance and robustness.

Let M be a closed simply connected n-manifold of positive sectional curvature. We determine its homeomorphism or homotopic type if M also admits an isometric elementary p-group action of large rank. Our main results are: There exists a constant p(n)>0 such that (1) If M^{2n} admits an effective isometric \Bbb Z_p^k-act…

2003-08-14abs ↗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.

The paper studies hyperbolic quotients of projection complexes and their actions.

problem Understanding the structure and properties of quotients of projection complexes.
method Analyzing the quotient of projection complexes by normal subgroups and studying the resulting actions.
result The quotient complex is δ-hyperbolic under certain conditions, and the quotient group is acylindrically hyperbolic.

In our book on cohomological methods in transformation groups the minimal Hirsch-Brown model was used to good effect. The construction there, however, was rather abstract. Here, for smooth compact connected Lie group actions on smooth closed manifolds, we give a much more explicit construction of the minmal Hirsch-Brow…

2004-08-14abs ↗pdf ↗

We classify the polar actions on the complex hyperbolic plane up to orbit equivalence. Apart from the trivial and transitive polar actions, there are five polar actions of cohomogeneity one and four polar actions of cohomogeneity two.

2011-08-02abs ↗pdf ↗

Study reduces complexity and uncertainty in human atrial cell models.

problem Uncertainty in parameter estimates from gating kinetics models.
method Approximate Bayesian computation to re-calibrate models, investigate two approaches: more complete datasets and less complex formulations.
result Less complex model with fewer parameters gives better fit and lower uncertainty.

It has long been assumed that high dimensional continuous control problems cannot be solved effectively by discretizing individual dimensions of the action space due to the exponentially large number of bins over which policies would have to be learned. In this paper, we draw inspiration from the recent success of sequ…

2017-05-14abs ↗pdf ↗

A theorem of Delzant states that any symplectic manifold $(M,\om)$ of dimension 2n2n, equipped with an effective Hamiltonian action of the standard nn-torus $\T^n = \R^{n}/2π\Z^n$, is a smooth projective toric variety completely determined (as a Hamiltonian $\T^n$-space) by the image of the moment map φ:MRnφ:M\to\R^n, a …

2000-04-19abs ↗pdf ↗

Robot learns tool use from effects, detecting features of tools, objects, and actions.

problem Teaching robots to understand and manipulate objects using tools.
method Deep learning model trained on sensory-motor data from a robot performing a tool-use task.
result Robot can detect features of tools, objects, and actions from effects of object manipulation.

Classifies actions on complex space forms with Lagrangian orbits.

problem Classifying actions on complex space forms with Lagrangian orbits.
method Classifies holomorphic isometric actions on complex space forms.
result Only examples are Lagrangian affine subspace foliations of complex Euclidean spaces and Lagrangian horocycle foliations of complex hyperbolic spaces.