Search Results for author: Akira Kinose

Found 3 papers, 0 papers with code

Integration of Imitation Learning using GAIL and Reinforcement Learning using Task-achievement Rewards via Probabilistic Graphical Model

no code implementations3 Jul 2019 Akira Kinose, Tadahiro Taniguchi

In this paper, we present a new theory for integrating reinforcement and imitation learning by extending the probabilistic generative model framework for reinforcement learning, {\it plan by inference}.

General Knowledge Imitation Learning +2

Multi-View Dreaming: Multi-View World Model with Contrastive Learning

no code implementations15 Mar 2022 Akira Kinose, Masashi Okada, Ryo Okumura, Tadahiro Taniguchi

In this paper, we propose Multi-View Dreaming, a novel reinforcement learning agent for integrated recognition and control from multi-view observations by extending Dreaming.

Contrastive Learning reinforcement-learning +1

RAP: Retrieval-Augmented Planning with Contextual Memory for Multimodal LLM Agents

no code implementations6 Feb 2024 Tomoyuki Kagaya, Thong Jing Yuan, Yuxuan Lou, Jayashree Karlekar, Sugiri Pranata, Akira Kinose, Koki Oguri, Felix Wick, Yang You

Owing to recent advancements, Large Language Models (LLMs) can now be deployed as agents for increasingly complex decision-making applications in areas including robotics, gaming, and API integration.

Decision Making Retrieval

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