Nino Vieillard
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Natural Language Processing Techniques, Advanced Bandit Algorithms Research, Adaptive Dynamic Programming Control, Topic Modeling
Most-Cited Works
- → Gemma 2: Improving Open Language Models at a Practical Size(2024)127 cited
- → Munchausen Reinforcement Learning(2020)37 cited
- Leverage the Average: an Analysis of KL Regularization in Reinforcement Learning(2020)
- → 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
- Leverage the Average: an Analysis of Regularization in RL(2020)
- → On Connections between Constrained Optimization and Reinforcement Learning(2019)7 cited
- → Deep Conservative Policy Iteration(2020)7 cited
- → Offline Reinforcement Learning with Pseudometric Learning(2021)5 cited