The workshop we organized at ICAPS on Planning and Reinforcement learning has been a great success. Check website for all papers and videos (Oct, 2020)

Our paper "Adaptive Smoothing for Path Integral Control" with Dominik, Bert, and Simone, has been accepted at JMLR! (Sept, 2020)

Our paper "On the design of consequential ranking algorithms" with B. Tabibian, A. De, M. Gomez Rodriguez and B. Schölkopf, has been accepted at UAI 2020! (May 15th, 2020)

Our paper "Input complexity and out-of-distribution detection with likelihood-based generative models" with J. Serrà, D. Álvarez, O. Slizovskaia, J.F. Núñez & J. Luque has been accepted at ICLR! (Dec 22nd, 2019)

Presented our work on adapting smoothing of path integral control problems at the NeurIPS Optimization Foundations of Reinforcement Learning Workshop (Dec 14th, 2019)

I am organizing the Special track on Planning & Learning for ICAPS 2020 together with Gerhard Neumann and Hankz H. Zhuo (Oct 5th, 2019)

I will be coordinating the Master of Intelligent and Interactive Systems (Oct, 2019)

Read this press article about our work on Consequential Ranking Algorithms and Long-term Wellfare in collaboration with the Max Planck Institute for Software Systems (Jul 3th, 2019)

I will be giving the tutorial on generative models of discussion threads at ICWSM next week together with A. Kaltenbrunner and P. Aragón (Jun 7th, 2019)

Our extended abstract on the few-get-richer phenomenon has been accepted for oral presentation at IC2S2! (Mar 13th, 2019)

Check out this press article about the few-get-richer effect: When less is more, the "few-get-richer" effect may explain how "fake news" spread (Feb 13th, 2019)

Our paper "Deep Policies for Width-Based Planning in Pixel Domains" with M. Junyent & A. Jonsson has been accepted at ICAPS! (Feb 7th, 2019)

Our paper "The few-get-richer: a surprising consequence of popularity-based rankings" with F. Germano and G. Le Mens has been accepted at theWebConf! (Jan 21st, 2019)