Clement Gehring
8 papers · 2016–2024 · 7 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (7) π Academic Marathon (8)
π
Cross-Pollinator
(9)
π
Renaissance Researcher
(5)
πΊοΈ
Taxonomy Completionist
(11)
β
The Questioner
Conferences
ICLR (2)
AISTATS (1)
CORL (1)
ICML (1)
IJCAI (1)
L4DC (1)
NIPS (1)
Top co-authors
Research topics
Keywords
model-based reinforcement learning
(2)
game theory
(1)
policy gradient
(1)
function approximation
(1)
robust reinforcement learning
(1)
minimax optimization
(1)
constrained optimization
(1)
markov decision process
(1)
gaussian process
(1)
value iteration
(1)
gradient descent
(1)
mirror descent
(1)
high-dimensional optimization
(1)
bayesian optimization
(1)
learning from demonstration
(1)
ensemble method
(1)
continuous domain
(1)
linear action model
(1)
online replanning
(1)
adversarial disturbance
(1)
Papers
Course Correcting Koopman Representations
ICLR 2024
Do Transformer World Models Give Better Policy Gradients?
ICML 2024
Bridging State and History Representations: Understanding Self-Predictive RL
ICLR 2024
Robust Reinforcement Learning: A Constrained Game-theoretic Approach
L4DC 2021
Understanding End-to-End Model-Based Reinforcement Learning Methods as Implicit Parameterization
NIPS 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