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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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0111 · Jul 201119922001200920172026
13 results for transience

Deep RL agents suffer from transient non-stationarity, which ITER mitigates.

problem Transient non-stationarity in deep RL agents affects generalization.
method Iterated Relearning (ITER) transfers knowledge between networks to reduce non-stationarity.
result ITER improves deep RL agents' performance on generalization benchmarks.

We give a general criterion for the Dirichlet problem at infinity (DPI) on a Cartan-Hadamard surface to be solvable, which we primarily use to give the best possible upper radial radial curvature bound for solvability of the DPI, but which is also flexible enough to accommodate flats. In particular, any (upper) radial …

2019-10-10abs ↗pdf ↗

Study the boundary operator property on simplicial complexes, proving essential properties for Hodge theory.

problem Characterize the boundary operator property =0\partial\partial = 0 on simplicial complexes.
method Characterization in 2\ell^2 terms of recurrence of links, defining relative cohomology, and proving harmonic eigenforms.
result Essential properties for Hodge theory, including weak decomposition and existence of harmonic eigenforms.

Random walks on braid groups are transient, with specific closure properties for certain braids.

problem Understanding the behavior of random walks on braid groups and their closure properties.
method Analyzing the symplectic representation of braid groups and polynomial conditions on their matrices.
result Random walks on braid groups are transient, and specific closure properties for certain braids are derived.

In this paper, we use a database of around 400,000 metaorders issued by investors and electronically traded on European markets in 2010 in order to study market impact at different scales. At the intraday scale we confirm a square root temporary impact in the daily participation, and we shed light on a duration factor …

2014-11-30abs ↗pdf ↗

Study shows social reinforcement learning can lead to persistent but metastable polarization.

problem Understanding the persistence and dynamics of opinion polarization.
method Simulation and mathematical analysis of a reinforcement learning model of opinion dynamics.
result Polarization observed in the model is metastable and will eventually lead to consensus.