254 citations · 390 across the 30 of their papers we have counts for
7 papers · 1 filter
Robust Policy Search for Robot Navigation
Javier Garcia-Barcos, Ruben Martinez-Cantin
Complex robot navigation and control problems can be framed as policy search problems. However, interactive learning in uncertain environments can be expensive, requiring the use o…
Fully Distributed Bayesian Optimization with Stochastic Policies
Javier Garcia-Barcos, Ruben Martinez-Cantin
Bayesian optimization has become a popular method for high-throughput computing, like the design of computer experiments or hyperparameter tuning of expensive models, where sample…
Practical Bayesian optimization in the presence of outliers
Ruben Martinez-Cantin, Kevin Tee, Michael McCourt
Inference in the presence of outliers is an important field of research as outliers are ubiquitous and may arise across a variety of problems and domains. Bayesian optimization is…
Robust Bayesian Optimization with Student-t Likelihood
Ruben Martinez-Cantin, Michael McCourt, Kevin Tee
Bayesian optimization has recently attracted the attention of the automatic machine learning community for its excellent results in hyperparameter tuning. BO is characterized by th…
Local Nonstationarity for Efficient Bayesian Optimization
Ruben Martinez-Cantin
Bayesian optimization has shown to be a fundamental global optimization algorithm in many applications: ranging from automatic machine learning, robotics, reinforcement learning, e…
BayesOpt: A Bayesian Optimization Library for Nonlinear Optimization, Experimental Design and Bandits
Ruben Martinez-Cantin
BayesOpt is a library with state-of-the-art Bayesian optimization methods to solve nonlinear optimization, stochastic bandits or sequential experimental design problems. Bayesian o…
On the Performance of Maximum Likelihood Inverse Reinforcement Learning
Héctor Ratia, Luis Montesano, Ruben Martinez-Cantin
Inverse reinforcement learning (IRL) addresses the problem of recovering a task description given a demonstration of the optimal policy used to solve such a task. The optimal polic…