Clement Gehring
8 papers · 2016–2024 · 7 venues · across top CS/AI venues
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Achievements
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Conference Polyglot Β· Silver
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Academic Marathon Β· Sprint
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Interdisciplinary Bridge Β· Silver
πΊοΈ
Taxonomy Completionist
(17)
β
The Questioner
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Research topics
Keywords
model-based reinforcement learning
(2)
policy gradient
(2)
reinforcement learning
(1)
game theory
(1)
function approximation
(1)
self-supervised learning
(1)
transformer
(1)
robust reinforcement learning
(1)
minimax optimization
(1)
constrained optimization
(1)
markov decision process
(1)
gaussian process
(1)
value iteration
(1)
gradient descent
(1)
partially observable markov decision process
(1)
mirror descent
(1)
high-dimensional optimization
(1)
bayesian optimization
(1)
learning from demonstration
(1)
nonlinear dynamical system
(1)
Papers
Bridging State and History Representations: Understanding Self-Predictive RL
ICLR 2024
Course Correcting Koopman Representations
ICLR 2024
Do Transformer World Models Give Better Policy Gradients?
ICML 2024
Robust Reinforcement Learning: A Constrained Game-theoretic Approach
L4DC 2021
Understanding End-to-End Model-Based Reinforcement Learning Methods as Implicit Parameterization
NeurIPS 2021
Adaptable replanning with compressed linear action models for learning from demonstrations
CoRL 2018
Batched Large-scale Bayesian Optimization in High-dimensional Spaces
AISTATS 2018
Incremental Truncated LSTD
IJCAI 2016