Integration of Imitation Learning using GAIL and Reinforcement Learning using Task-achievement Rewards via Probabilistic Generative Model. - Akira Kinose; Tadahiro Taniguchi (CoRR, 2019)

Integration of imitation learning using GAIL and reinforcement learning using task-achievement rewards via probabilistic graphical model. - Akira Kinose; Tadahiro Taniguchi (Adv. Robotics, 2020)

Multi-view dreaming: multi-view world model with contrastive learning. - Akira Kinose; Ryo Okumura; Masashi Okada; Tadahiro Taniguchi (Adv. Robotics, 2023)

RAP: Retrieval-Augmented Planning with Contextual Memory for Multimodal LLM Agents. - Tomoyuki Kagaya; Thong Jing Yuan; Yuxuan Lou; Jayashree Karlekar; Sugiri Pranata; Akira Kinose; Koki Oguri; Felix Wick; Yang You 001 (CoRR, 2024)

EnvBridge: Bridging Diverse Environments with Cross-Environment Knowledge Transfer for Embodied AI. - Tomoyuki Kagaya; Yuxuan Lou; Thong Jing Yuan; Subramanian Lakshmi; Jayashree Karlekar; Sugiri Pranata; Natsuki Murakami; Akira Kinose; Koki Oguri; Felix Wick; Yang You 001 (CoRR, 2024)