Debugging

Artificial Intelligence and Optimization with Parallelism

Artificial intelligence and blind Go

Energy Management (production side)

Bias and Variance in Continuous EDA: massively parallel continuous optimization

Direct policy search

Inteligencia Artificial y Go

Monte Carlo Tree Search in 2014 (MCMC days in Marseille)

Planning for power systems

Decidability of the halting problem for Matiyasevich deterministic machines

Power systemsilablri

Grenoble

Derivative Free Optimization

Keywords and examples of machine learning

Multimodal or Expensive Optimization

Simple regret bandit algorithms for unstructured noisy optimization

Stochastic modelling and quasi-random numbers

Computers and Killall-Go

Provocative statements around energy

Meta Monte-Carlo Tree Search