1 citations · 3 across the 6 of their papers we have counts for
6 papers
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…
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…
Two-stage training algorithm for AI robot soccer
Taeyoung Kim, Luiz Felipe Vecchietti, Kyujin Choi +2
In multi-agent reinforcement learning, the cooperative learning behavior of agents is very important. In the field of heterogeneous multi-agent reinforcement learning, cooperative…