Yann Ollivier
13 papers · 2017–2024 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (25) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
🧭
Keyword Pioneer
🧬
Topic Evolution
👑
Triple Crown
❓
The Questioner
(2)
💎
Century Club · Bronze
🗃️
Keyword Collector
(66)
🚀
Conference Pioneer
Venues
Top co-authors
Research topics
Machine Learning
(11)
Deep Learning
(6)
Optimization & Theory
(6)
Reinforcement Learning
(5)
Learning Types · Machine Learning
(5)
Artificial Intelligence
(4)
Architectures
(4)
Core AI
(4)
Methods
(4)
Mathematics & Optimization
(1)
Application Areas
(1)
Applications
(1)
Core Methods
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Keywords
representation learning
(2)
temporal difference learning
(2)
recurrent neural network
(2)
policy optimization
(2)
online learning
(1)
imitation learning
(1)
privacy attack
(1)
information geometry
(1)
transfer learning
(1)
feature matching
(1)
markov decision process
(1)
natural gradient
(1)
discount factor
(1)
value function
(1)
off-policy learning
(1)
reward function
(1)
probability distribution
(1)
minimum description length
(1)
black-box optimization
(1)
stochastic gradient descent
(1)
Papers
Fast Imitation via Behavior Foundation Models
ICLR 2024
Simple Ingredients for Offline Reinforcement Learning
ICML 2024
Does Zero-Shot Reinforcement Learning Exist?
ICLR 2023
Learning One Representation to Optimize All Rewards
NeurIPS 2021
First-Order Adversarial Vulnerability of Neural Networks and Input Dimension
ICML 2019
Making Deep Q-learning methods robust to time discretization
ICML 2019
Separating value functions across time-scales
ICML 2019
White-box vs Black-box: Bayes Optimal Strategies for Membership Inference
ICML 2019
Can recurrent neural networks warp time?
ICLR 2018
Mixed batches and symmetric discriminators for GAN training
ICML 2018
The Description Length of Deep Learning models
NeurIPS 2018
Unbiased Online Recurrent Optimization
ICLR 2018
Information-Geometric Optimization Algorithms: A Unifying Picture via Invariance Principles
JMLR 2017