1 code implementation • 8 Jun 2022 • Wilson Yan, Ryo Okumura, Stephen James, Pieter Abbeel
In this work, we present Patch-based Object-centric Video Transformer (POVT), a novel region-based video generation architecture that leverages object-centric information to efficiently model temporal dynamics in videos.
no code implementations • 31 Jan 2020 • Ryo Okumura, Masashi Okada, Tadahiro Taniguchi
We experimentally evaluated the model predictive control performance via imitation learning for continuous control of sparse reward tasks in simulators and compared it with the performance of the existing SRL method.
no code implementations • 10 Mar 2022 • Ryo Okumura, Nobuki Nishio, Tadahiro Taniguchi
An industrial connector insertion task requires submillimeter positioning and grasp pose compensation for a plug.
no code implementations • 15 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.