Haitham Bou-Ammar
Scholar

Haitham Bou-Ammar

Google Scholar ID: AE5suDoAAAAJ
RL-Team Leader, BO-Team Leader, MAS-Team Leader Huawei Noah's Ark Lab, H. Assistant Professor @ UCL
Machine LearningReinforcement LearningOptimisationVariational Inference
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Citations & Impact
All-time
Citations
2,801
 
H-index
31
 
i10-index
54
 
Publications
20
 
Co-authors
46
list available
Publications
29 items
Memento 3: Model-Based Recursive Self-Improvement through Reflective Rulebooks
2026
Cited
0
Beam Search as Test-Time Self-Distillation via Counterfactual Contexts
2026
Cited
0
Does This Action Still Explain the Task? Reverse Scoring for Diffusion Language Model Agents
2026
Cited
0
The Weakest Link: Distilling LLM Reasoning with Worst-Case Constrained Reinforcement Learning
2026
Cited
0
Tail-Influence Sampling for CVaR Policy Evaluation
2026
Cited
0
Composable Decoding on the Probability Simplex: Theory and Implementation
2026
Cited
0
iSDFT: Information-Proximal Self-Distillation for Continual Learning in LLMs
2026
Cited
0
Robots Need More than VLA and World Models
2026
Cited
0
Co-authors
13 total
Rasul Tutunov
Rasul Tutunov
Massachusetts Institute of Technology
Jun Wang
Jun Wang
Professor, Computer Science, University College London
Antoine Grosnit
Antoine Grosnit
Huawei R&D UK
Matthew E. Taylor
Matthew E. Taylor
Professor, University of Alberta
Jan Peters
Jan Peters
Professor for Intelligent Autonomous Systems/TU Darmstadt, Dept. Head/German AI Research Center DFKI
Eric Eaton
Eric Eaton
University of Pennsylvania
Decebal Constantin Mocanu
Decebal Constantin Mocanu
Associate Professor in Machine Learning, University of Luxembourg, TU Eindhoven
Kurt Driessens
Kurt Driessens
Associate Professor, Maastricht University