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Mitigation of Policy Manipulation Attacks on Deep Q-Networks with Parameter-Space Noise
SAFECOMP Workshops, 2018Recent developments establish the vulnerability of deep reinforcement learning to policy manipulation attack. In this work, we propose a technique for mitigation of such attacks based on addition of noise to the parameter space of deep reinforcement ...
Vahid Behzadan, Arslan Munir
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2018
In this chapter, we will consider the problem of estimating a location vector which is constrained to lie in a convex subset of \(\mathbb {R}^P\). Estimators that are constrained to a set should be constrasted to the shrinkage estimators discussed in Sect.
William E. Strawderman+2 more
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In this chapter, we will consider the problem of estimating a location vector which is constrained to lie in a convex subset of \(\mathbb {R}^P\). Estimators that are constrained to a set should be constrasted to the shrinkage estimators discussed in Sect.
William E. Strawderman+2 more
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The Journal of the Acoustical Society of America, 2007
Vowels are universal in human languages and have long been categorized in feature systems. However, the feature systems are based on introspection and include a notion of ‘‘height’’ or ‘‘closeness,’’ that is not anatomically straightforward. From x-ray and other imaging data, the important aspects seem to be palatal, velar, and pharyngeal closures ...
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Vowels are universal in human languages and have long been categorized in feature systems. However, the feature systems are based on introspection and include a notion of ‘‘height’’ or ‘‘closeness,’’ that is not anatomically straightforward. From x-ray and other imaging data, the important aspects seem to be palatal, velar, and pharyngeal closures ...
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1993
With Chapter 11 we are entering into Part IV of this book, the part that deals with design. For an uncertain closed-loop characteristic polynomial p(s, q, k) we want to find a k = k0 such that the polynomial p(s, q, k0) is Γ-stable for all q ∈ Q. Generic situations are:1.
Reinhold Steinhauser+4 more
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With Chapter 11 we are entering into Part IV of this book, the part that deals with design. For an uncertain closed-loop characteristic polynomial p(s, q, k) we want to find a k = k0 such that the polynomial p(s, q, k0) is Γ-stable for all q ∈ Q. Generic situations are:1.
Reinhold Steinhauser+4 more
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Compactifying parameter spaces
2016Keynote Questions (a) (The five conic problem) Given five general plane conics C 1 , …, C 5 ⊂ ℙ 2 , how many smooth conics C ⊂ ℙ 2 are tangent to all five? (Answer on page 308.) (b) Given 11 general points p 1 ,…, p 11 ϵ ℙ 2 in the plane, how many rational quartic curves C ⊂ ℙ 2 contain them all?
Joe Harris, David Eisenbud
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Parameter Spaces and Moduli Spaces
1992We can now give a slightly expanded introduction to the notion of parameter space, introduced in Lecture 4 and discussed occasionally since. This is a fairly delicate subject, and one that is clearly best understood from the point of view of scheme theory, so that in some sense this discussion violates our basic principle of dealing only with topics ...
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Parameter space of one-parameter complex mappings
Chaos, Solitons & Fractals, 2002zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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The HH- Space as Parameter Space
1990From very early on it has been shown that, using unequal inclusion probabilities, the HT- strategy need not have a smaller risk than the corresponding HH-strategy. Therefore, the question of conditions for a gain in efficiency arises. On the other hand, the risk of the HH- strategy in a natural way implies the HH- space as parameter space, to which we ...
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Surface Grid Generation in a Parameter Space [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
John E. Stewart+1 more
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The Parameter Spaces of the Cubic Polyomials
Fractals, 1998We plot the two-dimensional projections of the parameter spaces of the cubic mappings. The projection of the parameter points that have non-totally disconnected Julia sets can be seen as a combination of Mandelbrot-like sets. The regularities of these projections with respect to parameters are explained using elementary analysis.
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