Abstracting Reinforcement Learning Agents with Prior Knowledge. - Nicolas Bougie; Ryutaro Ichise (PRIMA, 2018)

Deep reinforcement learning boosted by external knowledge. - Nicolas Bougie; Ryutaro Ichise (SAC, 2018)

Exploration via Progress-Driven Intrinsic Rewards. - Nicolas Bougie; Ryutaro Ichise (ICANN (2), 2020)

Towards High-Level Intrinsic Exploration in Reinforcement Learning. - Nicolas Bougie; Ryutaro Ichise (IJCAI, 2020)

Intrinsically Motivated Lifelong Exploration in Reinforcement Learning. - Nicolas Bougie; Ryutaro Ichise (JSAI, 2020)

Towards Interpretable Reinforcement Learning with State Abstraction Driven by External Knowledge. - Nicolas Bougie; Ryutaro Ichise (IEICE Trans. Inf. Syst., 2020)

Skill-based curiosity for intrinsically motivated reinforcement learning. - Nicolas Bougie; Ryutaro Ichise (Mach. Learn., 2020)

Goal-driven active learning. - Nicolas Bougie; Ryutaro Ichise (Auton. Agents Multi Agent Syst., 2021)

Fast and slow curiosity for high-level exploration in reinforcement learning. - Nicolas Bougie; Ryutaro Ichise (Appl. Intell., 2021)

Efficient Reinforcement Learning through Improved Cognitive Capabilities. - Nicolas Bougie (2021)

Local Control is All You Need: Decentralizing and Coordinating Reinforcement Learning for Large-Scale Process Control. - Nicolas Bougie; Takashi Onishi; Yoshimasa Tsuruoka (SICE, 2022)

Hierarchical learning from human preferences and curiosity. - Nicolas Bougie; Ryutaro Ichise (Appl. Intell., 2022)

Lost and Found: How Self-Supervised Learning Helps GPS Coordinates Find Their Way. - Nicolas Bougie; Daria Vazhenina; Narimasa Watanabe (ACML, 2023)

Exploring Beyond Curiosity Rewards: Language-Driven Exploration in RL. - Nicolas Bougie; Narimasa Watanabe (ACML, 2024)

Generative Adversarial Reviews: When LLMs Become the Critic. - Nicolas Bougie; Narimasa Watanabe (CoRR, 2024)

Interpretable Imitation Learning with Symbolic Rewards. - Nicolas Bougie; Takashi Onishi; Yoshimasa Tsuruoka (ACM Trans. Intell. Syst. Technol., 2024)

SimUSER: Simulating User Behavior with Large Language Models for Recommender System Evaluation. - Nicolas Bougie; Narimasa Watanabe (CoRR, 2025)

MobileCity: An Efficient Framework for Large-Scale Urban Behavior Simulation. - Xiaotong Ye; Nicolas Bougie; Toshihiko Yamasaki; Narimasa Watanabe (CoRR, 2025)

CitySim: Modeling Urban Behaviors and City Dynamics with Large-Scale LLM-Driven Agent Simulation. - Nicolas Bougie; Narimasa Watanabe (CoRR, 2025)