Kei Ota | DeepAI

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∙ 06/27/2023

Style-transfer based Speech and Audio-visual Scene Understanding for Robot Action Sequence Acquisition from Videos

To realize human-robot collaboration, robots need to execute actions for...

0 Chiori Hori, et al. ∙

∙ 03/10/2023

Tactile-Filter: Interactive Tactile Perception for Part Mating

Humans rely on touch and tactile sensing for a lot of dexterous manipula...

0 Kei Ota, et al. ∙

∙ 10/22/2022

H-SAUR: Hypothesize, Simulate, Act, Update, and Repeat for Understanding Object Articulations from Interactions

The world is filled with articulated objects that are difficult to deter...

0 Kei Ota, et al. ∙

∙ 03/24/2022

Object Memory Transformer for Object Goal Navigation

This paper presents a reinforcement learning method for object goal navi...

0 Rui Fukushima, et al. ∙

∙ 09/09/2021

OPIRL: Sample Efficient Off-Policy Inverse Reinforcement Learning via Distribution Matching

Inverse Reinforcement Learning (IRL) is attractive in scenarios where re...

29 Hana Hoshino, et al. ∙

∙ 02/16/2021

Training Larger Networks for Deep Reinforcement Learning

The success of deep learning in the computer vision and natural language...

127 Kei Ota, et al. ∙

∙ 11/14/2020

Towards Human-Level Learning of Complex Physical Puzzles

Humans quickly solve tasks in novel systems with complex dynamics, witho...

13 Kei Ota, et al. ∙

∙ 10/31/2020

Deep Reactive Planning in Dynamic Environments

The main novelty of the proposed approach is that it allows a robot to l...

1 Kei Ota, et al. ∙

∙ 03/03/2020

Efficient Exploration in Constrained Environments with Goal-Oriented Reference Path

In this paper, we consider the problem of building learning agents that ...

1 Kei Ota, et al. ∙

∙ 03/03/2020

Can Increasing Input Dimensionality Improve Deep Reinforcement Learning?

Deep reinforcement learning (RL) algorithms have recently achieved remar...

1 Kei Ota, et al. ∙

∙ 03/13/2019

Trajectory Optimization for Unknown Constrained Systems using Reinforcement Learning

In this paper, we propose a reinforcement learning-based algorithm for t...

1 Kei Ota, et al. ∙

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