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09/08/2023
Representation Synthesis by Probabilistic Many-Valued Logic Operation in Self-Supervised Learning
Self-supervised learning (SSL) using mixed images has been studied to le...
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07/28/2023
Learning Compliant Stiffness by Impedance Control-Aware Task Segmentation and Multi-objective Bayesian Optimization with Priors
Rather than traditional position control, impedance control is preferred...
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02/03/2023
Online Re-Planning and Adaptive Parameter Update for Multi-Agent Path Finding with Stochastic Travel Times
This study explores the problem of Multi-Agent Path Finding with continu...
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03/22/2022
Self-Supervised Representation Learning as Multimodal Variational Inference
This paper proposes a probabilistic extension of SimSiam, a recent self-...
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03/15/2022
Multi-View Dreaming: Multi-View World Model with Contrastive Learning
In this paper, we propose Multi-View Dreaming, a novel reinforcement lea...
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03/01/2022
DreamingV2: Reinforcement Learning with Discrete World Models without Reconstruction
The present paper proposes a novel reinforcement learning method with wo...
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08/23/2020
Visual Exploration System for Analyzing Trends in Annual Recruitment Using Time-varying Graphs
Annual recruitment data of new graduates are manually analyzed by human ...
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07/29/2020
Dreaming: Model-based Reinforcement Learning by Latent Imagination without Reconstruction
In the present paper, we propose a decoder-free extension of Dreamer, a ...
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03/01/2020
PlaNet of the Bayesians: Reconsidering and Improving Deep Planning Network by Incorporating Bayesian Inference
In the present paper, we propose an extension of the Deep Planning Netwo...
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01/31/2020
Domain-Adversarial and -Conditional State Space Model for Imitation Learning
State representation learning (SRL) in partially observable Markov decis...
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09/16/2019
Multi-person Pose Tracking using Sequential Monte Carlo with Probabilistic Neural Pose Predictor
It is an effective strategy for the multi-person pose tracking task in v...
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07/08/2019
Variational Inference MPC for Bayesian Model-based Reinforcement Learning
In recent studies on model-based reinforcement learning (MBRL), incorpor...
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06/29/2017