← Authors

Haitham Bou Ammar

23 papers · 2013–2025 · 7 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (35) 🌍 Conference Polyglot (7) 🌈 Renaissance Researcher (8) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (13) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (12) 🀝 Dynamic Duo (10) πŸ† Grand Slam πŸ‘₯ Mega-Team (22) 🧬 Topic Evolution ❓ The Questioner πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (85) πŸ’Ž Century Club (23) πŸ”₯ Unstoppable (8)

Conferences

NIPS (9) ICLR (4) ICML (4) IJCAI (3) AAAI (1) CORL (1) EMNLP (1)

Top co-authors

Jun Wang (10) Rasul Tutunov (4) Eric Eaton (3) Gerasimos Lampouras (3) Antoine Grosnit (3) Aivar Sootla (2) Matthieu Zimmer (2) Jan Peters (2) Lisheng Wu (2) Cedric Malherbe (2)

Research topics

Robotics (1)

Keywords

reinforcement learning (4) bayesian optimization (3) policy gradient (2) safe exploration (2) constraint satisfaction (2) quadrotor control (2) combinatorial optimization (2) safe learning (2) reward modeling (1) multi-task learning (1) multi-agent reinforcement learning (1) sequential decision making (1) direct preference optimization (1) knowledge transfer (1) principal component analysis (1) distributed optimization (1) variational inference (1) policy learning (1) distributed learning (1) black-box optimization (1)

Papers

SparsePO: Controlling Preference Alignment of LLMs via Sparse Token Masks EMNLP 2025
Mixture of Attentions For Speculative Decoding ICLR 2025
Human-inspired Episodic Memory for Infinite Context LLMs ICLR 2025
Efficient Reinforcement Learning with Large Language Model Priors ICLR 2025
Measures of diversity and space-filling designs for categorical data ICML 2024
A Retrospective on the Robot Air Hockey Challenge: Benchmarking Robust, Reliable, and Safe Learning Techniques for Real-world Robotics NIPS 2024
Group Robust Preference Optimization in Reward-free RLHF NIPS 2024
End-to-End Meta-Bayesian Optimisation with Transformer Neural Processes NIPS 2023
Are Random Decompositions all we need in High Dimensional Bayesian Optimisation? ICML 2023
Framework and Benchmarks for Combinatorial and Mixed-variable Bayesian Optimization NIPS 2023
Online PCA in Converging Self-consistent Field Equations NIPS 2023
Reinforcement Learning in Presence of Discrete Markovian Context Evolution ICLR 2022
Enhancing Safe Exploration Using Safety State Augmentation NIPS 2022
Optimistic Tree Searches for Combinatorial Black-Box Optimization NIPS 2022
Robot Reinforcement Learning on the Constraint Manifold CORL 2021
Learning to Communicate Implicitly by Actions AAAI 2020
Multi-View Reinforcement Learning NIPS 2019
Distributed Multitask Reinforcement Learning with Quadratic Convergence NIPS 2018
Theoretically-Grounded Policy Advice from Multiple Teachers in Reinforcement Learning Settings with Applications to Negative Transfer IJCAI 2016
Safe Policy Search for Lifelong Reinforcement Learning with Sublinear Regret ICML 2015
Autonomous Cross-Domain Knowledge Transfer in Lifelong Policy Gradient Reinforcement Learning IJCAI 2015
Online Multi-Task Learning for Policy Gradient Methods ICML 2014
Conditional Restricted Boltzmann Machines for Negotiations in Highly Competitive and Complex Domains IJCAI 2013