Nicolas Bougie

26 papers A* 1A 1B 1C 2Misc 1Journal 12Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AlignUSER: Human-Aligned LLM Agents via World Models for Recommender System Evaluation. CoRR Nicolas Bougie, Gian Maria Marconi, Tony Yip, Narimasa Watanabe
2026	—	`conf`	MobileCity: An Efficient Framework for Large-Scale Urban Behavior Simulation. EACL (Industry Track) Xiaotong Ye, Nicolas Bougie, Toshihiko Yamasaki, Narimawa Watanabe
2025	—	`conf`	CitySim: Modeling Urban Behaviors and City Dynamics with Large-Scale LLM-Driven Agent Simulation. EMNLP (Industry Track) Nicolas Bougie, Narimawa Watanabe
2025	J	`jnl`	CitySim: Modeling Urban Behaviors and City Dynamics with Large-Scale LLM-Driven Agent Simulation. CoRR Nicolas Bougie, Narimasa Watanabe
2025	—	`conf`	Generative Reviewer Agents: Scalable Simulacra of Peer Review. EMNLP (Industry Track) Nicolas Bougie, Narimawa Watanabe
2025	J	`jnl`	MobileCity: An Efficient Framework for Large-Scale Urban Behavior Simulation. CoRR Xiaotong Ye, Nicolas Bougie, Toshihiko Yamasaki, Narimasa Watanabe
2025	—	`conf`	SimUSER: Simulating User Behavior with Large Language Models for Recommender System Evaluation. ACL (6) Nicolas Bougie, Narimawa Watanabe
2025	J	`jnl`	SimUSER: Simulating User Behavior with Large Language Models for Recommender System Evaluation. CoRR Nicolas Bougie, Narimasa Watanabe
2024	C	`conf`	Exploring Beyond Curiosity Rewards: Language-Driven Exploration in RL. ACML Nicolas Bougie, Narimasa Watanabe
2024	J	`jnl`	Generative Adversarial Reviews: When LLMs Become the Critic. CoRR Nicolas Bougie, Narimasa Watanabe
2024	J	`jnl`	Interpretable Imitation Learning with Symbolic Rewards. ACM Trans. Intell. Syst. Technol. Nicolas Bougie, Takashi Onishi, Yoshimasa Tsuruoka
2023	C	`conf`	Lost and Found: How Self-Supervised Learning Helps GPS Coordinates Find Their Way. ACML Nicolas Bougie, Daria Vazhenina, Narimasa Watanabe
2022	A	`conf`	Goal-Driven Active Learning. AAMAS Nicolas Bougie, Ryutaro Ichise
2022	J	`jnl`	Hierarchical learning from human preferences and curiosity. Appl. Intell. Nicolas Bougie, Ryutaro Ichise
2022	—	`conf`	Local Control is All You Need: Decentralizing and Coordinating Reinforcement Learning for Large-Scale Process Control. SICE Nicolas Bougie, Takashi Onishi, Yoshimasa Tsuruoka
2021	—	`—`	Efficient Reinforcement Learning through Improved Cognitive Capabilities. Nicolas Bougie
2021	J	`jnl`	Fast and slow curiosity for high-level exploration in reinforcement learning. Appl. Intell. Nicolas Bougie, Ryutaro Ichise
2021	J	`jnl`	Goal-driven active learning. Auton. Agents Multi Agent Syst. Nicolas Bougie, Ryutaro Ichise
2020	—	`conf`	Exploration via Progress-Driven Intrinsic Rewards. ICANN (2) Nicolas Bougie, Ryutaro Ichise
2020	—	`conf`	Intrinsically Motivated Lifelong Exploration in Reinforcement Learning. JSAI Nicolas Bougie, Ryutaro Ichise
2020	J	`jnl`	Skill-based curiosity for intrinsically motivated reinforcement learning. Mach. Learn. Nicolas Bougie, Ryutaro Ichise
2020	A*	`conf`	Towards High-Level Intrinsic Exploration in Reinforcement Learning. IJCAI Nicolas Bougie, Ryutaro Ichise
2020	J	`jnl`	Towards Interpretable Reinforcement Learning with State Abstraction Driven by External Knowledge. IEICE Trans. Inf. Syst. Nicolas Bougie, Ryutaro Ichise
2018	B	`conf`	Abstracting Reinforcement Learning Agents with Prior Knowledge. PRIMA Nicolas Bougie, Ryutaro Ichise
2018	Misc	`conf`	Deep reinforcement learning boosted by external knowledge. SAC Nicolas Bougie, Ryutaro Ichise
2017	J	`jnl`	Deep Reinforcement Learning Boosted by External Knowledge. CoRR Nicolas Bougie, Ryutaro Ichise