33 citations · 47 across the 25 of their papers we have counts for
11 papers · 1 filter
Off-Policy Reinforcement Learning with Loss Function Weighted by Temporal Difference Error
Bumgeun Park, Taeyoung Kim, Woohyeon Moon +2
Training agents via off-policy deep reinforcement learning (RL) requires a large memory, named replay memory, that stores past experiences used for learning. These experiences are…
Reinforcement Learning for Predicting Traffic Accidents
Injoon Cho, Praveen Kumar Rajendran, Taeyoung Kim +1
As the demand for autonomous driving increases, it is paramount to ensure safety. Early accident prediction using deep learning methods for driving safety has recently gained much…
Kick-motion Training with DQN in AI Soccer Environment
Bumgeun Park, Jihui Lee, Taeyoung Kim +1
This paper presents a technique to train a robot to perform kick-motion in AI soccer by using reinforcement learning (RL). In RL, an agent interacts with an environment and learns…
A Lightweight Domain Adaptive Absolute Pose Regressor Using Barlow Twins Objective
Praveen Kumar Rajendran, Quoc-Vinh Lai-Dang, Luiz Felipe Vecchietti +1
Identifying the camera pose for a given image is a challenging problem with applications in robotics, autonomous vehicles, and augmented/virtual reality. Lately, learning-based met…
Power Management in Smart Residential Building with Deep Learning Model for Occupancy Detection by Usage Pattern of Electric Appliances
Sangkeum Lee, Sarvar Hussain Nengroo, Hojun Jin +4
With the growth of smart building applications, occupancy information in residential buildings is becoming more and more significant. In the context of the smart buildings' paradig…
Reinforcement Learning-Based Cooperative P2P Power Trading between DC Nanogrid Clusters with Wind and PV Energy Resources
Sangkeum Lee, Sarvar Hussain Nengroo, Hojun Jin +4
In replacing fossil fuels with renewable energy resources for carbon neutrality, the unbalanced resource production of intermittent wind and photovoltaic (PV) power is a critical i…
Path Planning of Cleaning Robot with Reinforcement Learning
Woohyeon Moon, Bumgeun Park, Sarvar Hussain Nengroo +2
Recently, as the demand for cleaning robots has steadily increased, therefore household electricity consumption is also increasing. To solve this electricity consumption issue, the…
Anomaly Detection of Smart Metering System for Power Management with Battery Storage System/Electric Vehicle
Sangkeum Lee, Sarvar Hussain Nengroo, Hojun Jin +4
A novel smart metering technique capable of anomaly detection was proposed for real-time home power management system. Smart meter data generated in real-time was obtained from 900…
Development of Charging, Discharging Scheduling Algorithm for Economical and Energy Efficient Operation of Multi EV Charging Station
Hojun Jin, Sangkeum Lee, Sarvar Hussain Nengroo +1
As the number of electric vehicles (EVs) significantly increases, the excessive charging demand of parked EVs in the charging station may incur an instability problem to the electr…
RelMobNet: End-to-end relative camera pose estimation using a robust two-stage training
Praveen Kumar Rajendran, Sumit Mishra, Luiz Felipe Vecchietti +1
Relative camera pose estimation, i.e. estimating the translation and rotation vectors using a pair of images taken in different locations, is an important part of systems in augmen…
Sensing accident-prone features in urban scenes for proactive driving and accident prevention
Sumit Mishra, Praveen Kumar Rajendran, Luiz Felipe Vecchietti +1
In urban cities, visual information on and along roadways is likely to distract drivers and lead to missing traffic signs and other accident-prone (AP) features. To avoid accidents…