Nir Levine

Publications by Year

Research Areas

Reinforcement Learning in Robotics, Domain Adaptation and Few-Shot Learning, Advanced Bandit Algorithms Research, Adversarial Robustness in Machine Learning, Data Stream Mining Techniques

Most-Cited Works

• → Challenges of real-world reinforcement learning: definitions, benchmarks and analysis(2021)542 cited
• → Improved Knowledge Distillation via Teacher Assistant(2020)116 cited
• → An empirical investigation of the challenges of real-world reinforcement learning(2020)52 cited
• → Robust Reinforcement Learning for Continuous Control with Model Misspecification(2019)38 cited
• Rotting Bandits(2017)
• Shallow Updates for Deep Reinforcement Learning(2017)
• → A New Technique for Increasing the Flexibility of Recursive Least Squares Data Smoothing(1961)19 cited
• → Accelerated gradient projection technique with application to rocket trajectory optimization(1971)19 cited
• → Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach(2024)17 cited