Search Results for author: Akira Kinose

Found 2 papers, 0 papers with code

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

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 +1

Cannot find the paper you are looking for? You can Submit a new open access paper.