From the 1 of 5.5k papers with an AI index.
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19 papers · 2 filters
Analysis of Large-scale Traffic Dynamics using Non-negative Tensor Factorization
Yufei Han, Fabien Moutarde
In this paper, we present our work on clustering and prediction of temporal dynamics of global congestion configurations in large-scale road networks. Instead of looking into tempo…
Convex Relaxations for Learning Bounded Treewidth Decomposable Graphs
K. S. Sesh Kumar, Francis Bach
We consider the problem of learning the structure of undirected graphical models with bounded treewidth, within the maximum likelihood framework. This is an NP-hard problem and mos…
Cumulative Step-size Adaptation on Linear Functions
Alexandre Chotard, Anne Auger, Nikolaus Hansen
The CSA-ES is an Evolution Strategy with Cumulative Step size Adaptation, where the step size is adapted measuring the length of a so-called cumulative path. The cumulative path is…
On the Use of Non-Stationary Policies for Stationary Infinite-Horizon Markov Decision Processes
Bruno Scherrer, Boris Lesner
We consider infinite-horizon stationary -discounted Markov Decision Processes, for which it is known that there exists a stationary optimal policy. Using Value and Policy Iterat…
Objective Improvement in Information-Geometric Optimization
Youhei Akimoto, Yann Ollivier
Information-Geometric Optimization (IGO) is a unified framework of stochastic algorithms for optimization problems. Given a family of probability distributions, IGO turns the origi…
APRIL: Active Preference-learning based Reinforcement Learning
Riad Akrour, Marc Schoenauer, Michèle Sebag
This paper focuses on reinforcement learning (RL) with limited prior knowledge. In the domain of swarm robotics for instance, the expert can hardly design a reward function or demo…