Philippe Preux
15 papers · 2010–2023 · 9 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (36) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🌱
Topic Pioneer
🧬
Topic Evolution
🏆
Grand Slam
🏆
Keyword Champion
🌈
Renaissance Researcher
(5)
🚀
Conference Pioneer
💎
Century Club · Bronze
🗃️
Keyword Collector
(66)
📈
Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(12)
Learning Types · Machine Learning
(8)
Reinforcement Learning
(7)
Core Methods
(6)
Methods
(6)
Artificial Intelligence
(5)
Core AI
(5)
Applications · Reinforcement Learning
(3)
Optimization & Theory
(3)
Data Science & Analytics
(2)
Deep Learning
(2)
Mathematics & Optimization
(2)
Applications · Data Science & Analytics
(2)
Learning Types · Deep Learning
(2)
Optimization
(2)
Keywords
reinforcement learning
(4)
sample efficiency
(3)
operator-valued kernel
(3)
policy gradient
(2)
reproducing kernel hilbert space
(2)
representer theorem
(2)
kernel methods
(2)
functional data analysis
(2)
functional regression
(2)
continuous control
(2)
stationary ergodic
(2)
sparse reward
(2)
speaker recognition
(1)
kernel learning
(1)
online clustering
(1)
sample complexity
(1)
kl divergence
(1)
online learning
(1)
self-supervised learning
(1)
nonlinear regression
(1)
Papers
Soft Action Priors: Towards Robust Policy Transfer
AAAI 2023
Adversarially Guided Actor-Critic
ICLR 2021
Don’t Do What Doesn’t Matter: Intrinsic Motivation with Action Usefulness
IJCAI 2021
Learning Value Functions in Deep Policy Gradients using Residual Variance
ICLR 2021
There Is No Turning Back: A Self-Supervised Approach for Reversibility-Aware Reinforcement Learning
NeurIPS 2021
A Machine of Few Words: Interactive Speaker Recognition with Reinforcement Learning
Interspeech 2020
Only Relevant Information Matters: Filtering Out Noisy Samples To Boost RL
IJCAI 2020
Visual Reasoning with Multi-hop Feature Modulation
ECCV 2018
Consistent Algorithms for Clustering Time Series
JMLR 2016
Operator-valued Kernels for Learning from Functional Response Data
JMLR 2016
Improving offline evaluation of contextual bandit algorithms via bootstrapping techniques
ICML 2014
A Generalized Kernel Approach to Structured Output Learning
ICML 2013
Multiple Operator-valued Kernel Learning
NeurIPS 2012
Online Clustering of Processes
AISTATS 2012
Nonlinear functional regression: a functional RKHS approach
AISTATS 2010