← Authors

Emmanuel Rachelson

10 papers · 2018–2026 · 6 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (6) πŸƒ Academic Marathon (6) 🐝 Cross-Pollinator (9) 🌈 Renaissance Researcher (7) πŸ—ΊοΈ Taxonomy Completionist (27) πŸ† Grand Slam 🧬 Topic Evolution πŸ‘‘ Triple Crown πŸ—ƒοΈ Keyword Collector (56) πŸ“ˆ Trend Setter πŸ’Ž Century Club (10)

Conferences

NIPS (4) AAAI (2) AUTOML (1) ICLR (1) ICML (1) IJCAI (1)

Top co-authors

Erwan Lecarpentier (3) David Bertoin (3) Adil Zouitine (2) Matthieu Geist (2) Zacharie Alès (1) Guillaume Infantes (1) Paul Strang (1) Florent Teichteil-Konigsbuch (1) Thibault Lahire (1) Charles Lesire (1)

Keywords

markov decision process (3) reinforcement learning (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
Time-Constrained Robust MDPs NIPS 2024
Exploration by Learning Diverse Skills through Successor State Representations NIPS 2024
Large Batch Experience Replay ICML 2022
When, where, and how to add new neurons to ANNs AUTOML 2022
Look where you look! Saliency-guided Q-networks for generalization in visual Reinforcement Learning NIPS 2022
Local Feature Swapping for Generalization in Reinforcement Learning ICLR 2022
Lipschitz Lifelong Reinforcement Learning AAAI 2021
Non-Stationary Markov Decision Processes, a Worst-Case Approach using Model-Based Reinforcement Learning NIPS 2019
Open Loop Execution of Tree-Search Algorithms IJCAI 2018