Deep Reinforcement Learning Approach

Deep reinforcement learning (DRL) employs artificial intelligence to enable agents to learn optimal strategies through trial and error within complex environments. Current research focuses on applying DRL algorithms, such as Deep Q-Networks (DQN), Proximal Policy Optimization (PPO), and Actor-Critic methods (including A3C and DDPG), to diverse problems ranging from resource management (energy grids, battery systems) and traffic optimization to financial trading and autonomous systems (robotics, vehicle navigation). The significance of DRL lies in its ability to solve complex decision-making problems beyond the capabilities of traditional methods, leading to improved efficiency, safety, and resource allocation across various sectors.

Papers

July 16, 2022

Role of reward shaping in object-goal navigation
Srirangan Madhavan, Anwesan Pal, Henrik I. Christensen
Integral Role Reward Function Reward Shaping Reward Report Deep Reinforcement Learning Approach Object Goal Navigation Visual Navigation Task Object Goal Navigation Task

July 5, 2022

July 4, 2022

Asynchronous Curriculum Experience Replay: A Deep Reinforcement Learning Approach for UAV Autonomous Motion Control in Unknown Dynamic Environments
Zijian Hu, Xiaoguang Gao, Kaifang Wan, Qianglong Wang, Yiwei Zhai
Deep Reinforcement Learning Unknown Environment Deep Reinforcement Learning Approach

June 24, 2022

Modeling Adaptive Platoon and Reservation Based Autonomous Intersection Control: A Deep Reinforcement Learning Approach
Duowei Li, Jianping Wu, Feng Zhu, Tianyi Chen, Yiik Diew Wong
Autonomous Vehicle Deep Reinforcement Learning Approach Platoon Control Autonomous Intersection Lane Change Decision

June 16, 2022

Backbones-Review: Feature Extraction Networks for Deep Learning and Deep Reinforcement Learning Approaches
Omar Elharrouss, Younes Akbari, Noor Almaadeed, Somaya Al-Maadeed
Deep Learning Convolutional Neural Network Feature Extraction Computer Vision Task Deep Reinforcement Learning Approach Feature Extraction Network

March 4, 2022

Self-Supervised Learning for Joint Pushing and Grasping Policies in Highly Cluttered Environments
Yongliang Wang, Kamal Mokhtar, Cock Heemskerk, Hamidreza Kasaei
Self Supervised Learning Non Humanoid Robot Functional Grasping Cluttered Environment Deep Reinforcement Learning Approach Stable Pushing Grasp Policy Dual Reinforcement Learning

February 23, 2022

Using Deep Reinforcement Learning with Automatic Curriculum Learning for Mapless Navigation in Intralogistics
Honghu Xue, Benedikt Hein, Mohamed Bakr, Georg Schildbach, Bengt Abel, Elmar Rueckert
Deep Reinforcement Learning Curriculum Learning Navigation Task Deep Reinforcement Learning Approach Goal Oriented Logistics System Mapless Navigation Bearing Only Cooperative

February 17, 2022

A Survey on Deep Reinforcement Learning-based Approaches for Adaptation and Generalization
Pamul Yadav, Ashutosh Mishra, Junyong Lee, Shiho Kim
Timely Survey Deep Reinforcement Learning Strong Generalization Adaptation Concern Intelligent Agent Deep Reinforcement Learning Approach

February 4, 2022

5G Network on Wings: A Deep Reinforcement Learning Approach to the UAV-based Integrated Access and Backhaul
Hongyi Zhang, Zhiqiang Qi, Jingya Li, Anders Aronsson, Jan Bosch, Helena Holmström Olsson
Unmanned Aerial Vehicle Deep Reinforcement Learning Approach G Network Multi Drone Base Station Dual Purpose WING Backhaul Network Aerial Network

January 5, 2022

Supervised Permutation Invariant Networks for Solving the CVRP with Bounded Fleet Size
Daniela Thyssens, Jonas Falkner, Lars Schmidt-Thieme
Deep Learning Framework Combinatorial Optimization Problem Deep Reinforcement Learning Approach Permutation Invariant Fleet Scheduling Integer Linear Programming Solver

December 22, 2021

A Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drone
Aigerim Bogyrbayeva, Taehyun Yoon, Hanbum Ko, Sungbin Lim, Hyokun Yun, Changhyun Kwon
Reinforcement Learning Single Drone Attention Based Attention Based Model Deep Reinforcement Learning Approach Traveling Salesman Problem Attention Based Encoder Decoder Attention Based Encoder

December 17, 2021

Personalized Lane Change Decision Algorithm Using Deep Reinforcement Learning Approach
Daofei Li, Ao Liu
Deep Reinforcement Learning Approach Lane Change Lane Change Decision

November 6, 2021

A Deep Reinforcement Learning Approach for Composing Moving IoT Services
Azadeh Ghari Neiat, Athman Bouguettaya, Mohammed Bahutair
Novel Framework Deep Reinforcement Deep Reinforcement Learning Approach Service Discovery IoT Service

November 3, 2021

Autonomous Attack Mitigation for Industrial Control Systems
John Mern, Kyle Hatch, Ryan Silva, Cameron Hickert, Tamim Sookoor, Mykel J. Kochenderfer
Reinforcement Learning Deep Reinforcement Learning Approach Industrial Control Autonomous Behavior Autonomous Network

Deep Reinforcement Learning Approach

Papers

Role of reward shaping in object-goal navigation

Resource Allocation in Multicore Elastic Optical Networks: A Deep Reinforcement Learning Approach

Deep Reinforcement Learning Approach for Trading Automation in The Stock Market

Asynchronous Curriculum Experience Replay: A Deep Reinforcement Learning Approach for UAV Autonomous Motion Control in Unknown Dynamic Environments

Modeling Adaptive Platoon and Reservation Based Autonomous Intersection Control: A Deep Reinforcement Learning Approach

Backbones-Review: Feature Extraction Networks for Deep Learning and Deep Reinforcement Learning Approaches

Self-Supervised Learning for Joint Pushing and Grasping Policies in Highly Cluttered Environments

Using Deep Reinforcement Learning with Automatic Curriculum Learning for Mapless Navigation in Intralogistics

A Survey on Deep Reinforcement Learning-based Approaches for Adaptation and Generalization

5G Network on Wings: A Deep Reinforcement Learning Approach to the UAV-based Integrated Access and Backhaul

Supervised Permutation Invariant Networks for Solving the CVRP with Bounded Fleet Size

A Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drone

Personalized Lane Change Decision Algorithm Using Deep Reinforcement Learning Approach

A Deep Reinforcement Learning Approach for Composing Moving IoT Services

Autonomous Attack Mitigation for Industrial Control Systems