Emmanuel Rachelson
10 papers · 2018–2026 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (29) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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Renaissance Researcher
(5)
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Century Club Β· Bronze
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(59)
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Research topics
Artificial Intelligence
(7)
Deep Learning
(7)
Machine Learning
(7)
Reinforcement Learning
(7)
Core AI
(7)
Methods
(6)
Learning Types Β· Machine Learning
(5)
Learning Types Β· Deep Learning
(5)
Mathematics & Optimization
(2)
Core Methods
(2)
Optimization
(2)
Optimization & Theory
(2)
Computer Vision
(1)
Knowledge & Reasoning
(1)
Application Areas
(1)
Keywords
reinforcement learning
(4)
markov decision process
(3)
model-based reinforcement learning
(2)
deep reinforcement learning
(2)
robust optimization
(2)
robust planning
(1)
robust reinforcement learning
(1)
variable selection
(1)
visual reinforcement learning
(1)
continuous control
(1)
supervised learning
(1)
gradient estimation
(1)
knowledge transfer
(1)
branch and bound
(1)
structural learning
(1)
importance sampling
(1)
mutual information
(1)
value function
(1)
domain generalization
(1)
combinatorial optimization
(1)
Papers
Planning in Branch-and-Bound: Model-Based Reinforcement Learning for Exact Combinatorial Optimization
AAAI 2026
Exploration by Learning Diverse Skills through Successor State Representations
NeurIPS 2024
Time-Constrained Robust MDPs
NeurIPS 2024
Large Batch Experience Replay
ICML 2022
Local Feature Swapping for Generalization in Reinforcement Learning
ICLR 2022
Look where you look! Saliency-guided Q-networks for generalization in visual Reinforcement Learning
NeurIPS 2022
When, where, and how to add new neurons to ANNs
AutoML 2022
Lipschitz Lifelong Reinforcement Learning
AAAI 2021
Non-Stationary Markov Decision Processes, a Worst-Case Approach using Model-Based Reinforcement Learning
NeurIPS 2019
Open Loop Execution of Tree-Search Algorithms
IJCAI 2018