Guillaume Desjardins
8 papers · 2010–2024 · 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
Jump to papers ↓+2 more ↓ Show less ↑
π£ Hot Topic Early Bird π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver π Conference Polyglot Β· Bronze πΊοΈ Taxonomy Completionist (29)
π§¬
Topic Evolution
π
Trend Setter
Venues
Top co-authors
Research topics
Artificial Intelligence
(6)
Machine Learning
(6)
Reinforcement Learning
(5)
Methods
(5)
Optimization & Theory
(5)
Deep Learning
(4)
Applications
(3)
Bayesian & Probabilistic Β· Artificial Intelligence
(3)
Learning Paradigms
(3)
Core AI
(2)
Core Methods
(2)
Learning Types
(2)
Natural Language Processing
(1)
Architectures
(1)
Bayesian & Probabilistic Β· Machine Learning
(1)
Keywords
reinforcement learning
(2)
representation learning
(2)
restricted boltzmann machine
(2)
transfer learning
(2)
imitation learning
(1)
variational inference
(1)
sequence modeling
(1)
natural gradient descent
(1)
fenchel duality
(1)
information bottleneck
(1)
inverse reinforcement learning
(1)
reinforcement learning from human feedback
(1)
markov chain monte carlo
(1)
hierarchical reinforcement learning
(1)
skill discovery
(1)
partition function
(1)
markov decision process
(1)
apprenticeship learning
(1)
convex optimization
(1)
probabilistic modeling
(1)
Papers
Imitating Language via Scalable Inverse Reinforcement Learning
NeurIPS 2024
Behavior Priors for Efficient Reinforcement Learning
JMLR 2022
Entropic Desired Dynamics for Intrinsic Control
NeurIPS 2021
Reward is enough for convex MDPs
NeurIPS 2021
Information asymmetry in KL-regularized RL
ICLR 2019
Natural Neural Networks
NeurIPS 2015
On Tracking The Partition Function
NeurIPS 2011
Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machines
AISTATS 2010