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Deep Reinforcement Learning

Stable Baselines rely on TF 1.x but Stable Baselines v3 rely on PyTorch.

Organizing contests with judges


AlphaGo and Alpha Zero

In December 2016 we presented it at ENS Paris-Saclay with Étienne Simon but apparently I never wrote a blog post in the end.

Six dates importantes en algorithmique

Algorithme d’Euclide (qui date peut-être de l’école de Pythagore 530 av. J.C.)

Quadrangle Inequality trick for dynamic programs

Application: Given an ordered list of keys with frequencies, build a binary search tree on those keys which minimizes the average query cost.

Pareto optimality

Compute the pareto set of a given set of points in 2 or 3 dimensions.

Multiplying polynomials

You are given two polynomials $P$ and $Q$ and want to compute their product. The polynomials are given in form of an array with their coefficients.

Making pairs adjacent at minimal cost

You are given an array $X$ with the promise that each of its values appears exactly twice. You want to transform $X$ such that at the end all pairs are adjacent in the array. An allowed operation consists in removing a value from $X$ and appending it at the end. The cost of a solution is the maximal value which was moved.

Identifying the maximum in a sliding window

Given an array $x$ and an integer $k$, determine for every index $1 \leq j\leq n$ the maximum $x[i]$ among all indices $\max\{1,j-k+1 \} \leq i \leq j$.

Maintaining sum of k largest items in a dynamic set

Maintain a set, allowing to add or remove elements and to query the sum of the up to k largest items.

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