| 2026 | ACL | AlignUSER: Human-Aligned LLM Agents via World Models for Recommender System Evaluation. | Nicolas Bougie, Gian Maria Marconi, Xiaotong Ye, Narimawa Watanabe |
| 2026 | EACL | MobileCity: An Efficient Framework for Large-Scale Urban Behavior Simulation. | Xiaotong Ye, Nicolas Bougie, Toshihiko Yamasaki, Narimawa Watanabe |
| 2025 | ACL | SimUSER: Simulating User Behavior with Large Language Models for Recommender System Evaluation. | Nicolas Bougie, Narimawa Watanabe |
| 2025 | EMNLP | Generative Reviewer Agents: Scalable Simulacra of Peer Review. | Nicolas Bougie, Narimawa Watanabe |
| 2025 | EMNLP | CitySim: Modeling Urban Behaviors and City Dynamics with Large-Scale LLM-Driven Agent Simulation. | Nicolas Bougie, Narimawa Watanabe |
| 2024 | ACML | Exploring Beyond Curiosity Rewards: Language-Driven Exploration in RL. | Nicolas Bougie, Narimasa Watanabe |
| 2023 | ACML | Lost and Found: How Self-Supervised Learning Helps GPS Coordinates Find Their Way. | Nicolas Bougie, Daria Vazhenina, Narimasa Watanabe |
| 2020 | ICANN | Exploration via Progress-Driven Intrinsic Rewards. | Nicolas Bougie, Ryutaro Ichise |
| 2020 | IJCAI | Towards High-Level Intrinsic Exploration in Reinforcement Learning. | Nicolas Bougie, Ryutaro Ichise |
| 2018 | PRIMA | Abstracting Reinforcement Learning Agents with Prior Knowledge. | Nicolas Bougie, Ryutaro Ichise |
| 2018 | SAC | Deep reinforcement learning boosted by external knowledge. | Nicolas Bougie, Ryutaro Ichise |