1 citations · 2 across the 9 of their papers we have counts for
5 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…
Cluster-based Sampling in Hindsight Experience Replay for Robotic Tasks (Student Abstract)
Taeyoung Kim, Dongsoo Har
In multi-goal reinforcement learning with a sparse binary reward, training agents is particularly challenging, due to a lack of successful experiences. To solve this problem, hinds…
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…