Valentin Thomas
6 papers · 2019–2024 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot Β· Bronze
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Academic Marathon Β· Sprint
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Interdisciplinary Bridge Β· Bronze
πΊοΈ
Taxonomy Completionist
(16)
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Hot Topic Early Bird
Venues
Top co-authors
Research topics
Keywords
natural policy gradient
(2)
variance reduction
(2)
stochastic gradient descent
(1)
temporal difference learning
(1)
policy optimization
(1)
bayesian inference
(1)
in-context learning
(1)
convergence analysis
(1)
fisher information
(1)
nearest neighbor
(1)
sequential monte carlo
(1)
continuous control
(1)
off-policy learning
(1)
linear function approximation
(1)
hessian matrix
(1)
probabilistic planning
(1)
random matrix theory
(1)
multi-armed bandit
(1)
bandit problem
(1)
learning dynamics
(1)
Papers
Retrieval & Fine-Tuning for In-Context Tabular Models
NeurIPS 2024
On the role of overparameterization in off-policy Temporal Difference learning with linear function approximation
NeurIPS 2022
The Role of Baselines in Policy Gradient Optimization
NeurIPS 2022
Beyond Variance Reduction: Understanding the True Impact of Baselines on Policy Optimization
ICML 2021
On the interplay between noise and curvature and its effect on optimization and generalization
AISTATS 2020
Probabilistic Planning with Sequential Monte Carlo methods
ICLR 2019