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Haitham Bou-Ammar — most-cited papers & profile · Large Language Models
← authors
·
overview
Haitham Bou-Ammar
15
papers ·
11
citations ·
6
h-index
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation
2022 · 9 citations
A Pragmatist Robot: Learning to Plan Tasks by Experiencing the Real World
2025 · 1 citations
Fast Kinodynamic Planning on the Constraint Manifold with Deep Neural Networks
2023 · 1 citations
HapTile: A Haptic-Informed Vision-Tactile-Language-Action Dataset for Contact-Rich Imitation Learning
2026
The Y-Combinator for LLMs: Solving Long-Context Rot with λ-Calculus
2026
Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial
2026
Embodied Arena: A Comprehensive, Unified, and Evolving Evaluation Platform for Embodied AI
2025
Ark: An Open-source Python-based Framework for Robot Learning
2025
Efficient and Reactive Planning for High Speed Robot Air Hockey
2021
Pangu-Agent: A Fine-Tunable Generalist Agent with Structured Reasoning
2023
Bayesian Reward Models for LLM Alignment
2024
ZSL-RPPO: Zero-Shot Learning for Quadrupedal Locomotion in Challenging Terrains using Recurrent Proximal Policy Optimization
2024
Safe Reinforcement Learning on the Constraint Manifold: Theory and Applications
2024
ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning
2024
A Retrospective on the Robot Air Hockey Challenge: Benchmarking Robust, Reliable, and Safe Learning Techniques for Real-world Robotics
2024
Topics
Manipulation
Control
Human-Robot Interaction
Model-Based RL
Perception
Navigation
Humanoid
Safe RL
RLHF & Alignment
Sim-to-Real