Léonard Hussenot
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Natural Language Processing Techniques, Adversarial Robustness in Machine Learning, Topic Modeling, Robot Manipulation and Learning
Most-Cited Works
- → Gemma: Open Models Based on Gemini Research and Technology(2024)220 cited
- → Gemma 2: Improving Open Language Models at a Practical Size(2024)127 cited
- → What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study(2020)104 cited
- What Matters for On-Policy Deep Actor-Critic Methods? A Large-Scale Study(2021)
- → Primal Wasserstein Imitation Learning(2020)41 cited
- → MedGemma Technical Report(2025)20 cited
- → Offline Reinforcement Learning as Anti-exploration(2022)19 cited
- → Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback(2023)19 cited
- → What Matters for Adversarial Imitation Learning?(2021)18 cited
- → CopyCAT: Taking Control of Neural Policies with Constant Attacks(2019)16 cited