MuZero visualizes its internal representations to stabilize planning.
arXiv research
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Investigates set-valued risk measures for processes and vectors, proving equivalence and providing new dual representations.
Learning a generative model is a key component of model-based reinforcement learning. Though learning a good model in the tabular setting is a simple task, learning a useful model in the approximate setting is challenging. In this context, an important question is the loss function used for model learning as varying th…
Algorithm finds a simplified model for reinforcement learning under agent limitations.
A new RL approach learns near-equivalent actions for healthcare decisions.
This work analyzes self-attention matrices using random matrix theory.
Introduces valuative stability for polarised varieties, equivalent to K-stability.
Conditions, related to Kulkarni's equivalence problem are considered for indefinite Riemannian and Kaehlerian manifolds. Corresponding theorems are obtained for the values of the Ricci tensor on isotropic vectors as well as for the values of the curvature tensor on degenerate holomorphic 2-planes.
Pion optimizes LLMs by preserving weight matrix singular values.
Q-learning adapted to find near-equivalent treatment strategies.
The future value of a security is described as a random variable. Distribution of this random variable is the formal image of risk uncertainty. On the other side, any present value is defined as a value equivalent to the given future value. This equivalence relationship is a subjective. Thus follows, that present value…
CEFOL uses deep learning for dynamic programming with recursive utility.
New versions of the set-valued average value at risk for multivariate risks are introduced by generalizing the well-known certainty equivalent representation to the set-valued case. The first "regulator" version is independent from any market model whereas the second version, called the market extension, takes trading …
Equivalent characterizations of multiportfolio time consistency are deduced for closed convex and coherent set-valued risk measures on with image space in the power set of . In the convex case, multiportfolio time consistency is equivalent to a cocycle condition on…
Investigates a new measure PELVE_n for risk assessment.
Study risk-sensitive reinforcement learning with optimized certainty equivalents.
We define -moves for embeddings of a finite graph into the 3-sphere for each natural number . Let -equivalence denote an equivalence relation generated by -moves and ambient isotopy. -equivalence implies -equivalence. Let be an -equivalence class of the embeddings of …
First, we show that implied normal volatility is intimately linked with the incomplete Gamma function. Then, we deduce an expansion on implied normal volatility in terms of the time-value of a European call option. Then, we formulate an equivalence between the implied normal volatility and the lognormal implied volatil…
Paper proves equivalence of derivatives for maps between Carnot groups.
This study presents new analytic approximations of the stochastic-alpha-beta-rho (SABR) model. Unlike existing studies that focus on the equivalent Black-Scholes (BS) volatility, we instead derive the equivalent constant-elasticity-of-variance (CEV) volatility. Our approach effectively reduces the approximation error i…
We apply E. Cartan's method of equivalence to classify 7-dimensional, 2-nondegenerate CR manifolds up to local CR equivalence in the case that the cubic form of satisfies a certain symmetry property with respect to the Levi form of . The solution to the equivalence problem is given by a parallelism on a prin…
We analyze the possibility of defining infinite-dimensional manifolds as ringed spaces. More precisely, we consider three definitions of manifolds modeled on locally convex spaces: in terms of charts and atlases, in terms of ringed spaces, and in terms of functored spaces, as introduced by Douady in his thesis. It is s…
Equivalence relations can be defined on Gauss phrases using combinatorial moves. In this paper we consider two closely related equivalence relations on Gauss phrases, homotopy and open homotopy. In particular, in each case, we define a new invariant and determine the values that it can attain.
Two Kaehler metrics on one complex manifold are said to be c-projectively equivalent if their J-planar curves, i.e., curves defined by the property that their acceleration is complex proportional to their velocity, coincide. The degree of mobility of a Kaehler metric is the dimension of the space of metrics that are c-…
The following numerical control over the topological equivalence is proved: two complex polynomials in variables and with isolated singularities are topologically equivalent if one deforms into the other by a continuous family of polynomial functions with isolated sin…
We give a global version of Le-Ramanujam mu-constant theorem for polynomials. Let f_t, (t in [0,1]), be a family of polynomials of n complex variables with isolated singularities, whose coefficients are polynomials in t. We consider the case where some numerical invariants are constant (the affine Milnor number, the Mi…
The paper classifies pretzel links with 2 components and gives conditions for those with 3 or more.
Solves Merton's investment-consumption problem with certainty equivalent approach.
Overview of risk-sensitive Markov decision processes with Optimized Certainty Equivalent.
This paper shows connections between two complex mathematical theories are equivalent.
We introduce the concept of `claspers,' which are surfaces in 3-manifolds with some additional structure on which surgery operations can be performed. Using claspers we define for each positive integer k an equivalence relation on links called `C_k-equivalence,' which is generated by surgery operations of a certain kin…
Deep learning solves dynamic programming with recursive utility.
For incomplete preference relations that are represented by multiple priors and/or multiple -- possibly multivariate -- utility functions, we define a certainty equivalent as well as the utility buy and sell prices and indifference price bounds as set-valued functions of the claim. Furthermore, we motivate and introduc…
Paper discusses directional differentiability of interval-valued functions on Riemannian manifolds.
Deterministic method for certifying neural network robustness.
Study on implied certainty equivalent rates in financial markets and electric vehicles.
Equivalences between conformal foliations on Euclidean -space, Hermitian structures on Euclidean -space, shear-free ray congruences on Minkowski -space, and holomorphic foliations on complex -space are explained geometrically and twistorially; these are used to show that 1) any real-analytic complex-valued …
For any link and for any modulus we introduce an equivalence relation on the set of non-trivial m-colorings of the link (an m-coloring has values in Z/mZ). Given a diagram of the link, the equivalence class of a non-trivial m-coloring is formed by each assignment of colors to the arcs of the diagram that is obtaine…
We propose a plan online and learn offline (POLO) framework for the setting where an agent, with an internal model, needs to continually act and learn in the world. Our work builds on the synergistic relationship between local model-based control, global value function learning, and exploration. We study how local traj…
Minimal surfaces' area bounds proven equivalent, extending known results.
We discuss the ribbon-move for 2-knots, which is a local move. Let and be 2-knots. Then we have: Suppose that and are ribbon-move equivalent. (1) Let (resp. ) be the -torsion submodule of the Alexander module…
In the present paper, we define an invariant of free links valued in a free product of some copies of . In \cite{Ma2} the second named author constructed a connection between classical braid group and group presentation generated by elements corresponding to horizontal trisecants. This approach does not…
Unimodular classification of symmetric matrix map-germs.
This work analyzes centered binary Restricted Boltzmann Machines (RBMs) and binary Deep Boltzmann Machines (DBMs), where centering is done by subtracting offset values from visible and hidden variables. We show analytically that (i) centering results in a different but equivalent parameterization for artificial neural …
We study an optimal liquidation problem under the ambiguity with respect to price impact parameters. Our main results show that the value function and the optimal trading strategy can be characterized by the solution to a semi-linear PDE with superlinear gradient, monotone generator and singular terminal value. We also…
This papers addresses the stock option pricing problem in a continuous time market model where there are two stochastic tradable assets, and one of them is selected as a numéraire. It is shown that the presence of arbitrarily small stochastic deviations in the evolution of the numéraire process causes significant chang…
We study an equivalence of (i) deterministic pathwise statements appearing in the online learning literature (termed \emph{regret bounds}), (ii) high-probability tail bounds for the supremum of a collection of martingales (of a specific form arising from uniform laws of large numbers for martingales), and (iii) in-expe…
There are three equivalent ways of representing two jointly observed real-valued signals: as a bivariate vector signal, as a single complex-valued signal, or as two analytic signals known as the rotary components. Each representation has unique advantages depending on the system of interest and the application goals. I…