Reinforcement Learning Approach

Reinforcement learning (RL) is a machine learning paradigm focused on training agents to make optimal decisions in dynamic environments by maximizing cumulative rewards. Current research emphasizes applying RL to diverse problems, including optimizing complex processes (e.g., space mission planning, manufacturing, traffic control), often employing algorithms like Proximal Policy Optimization (PPO) and Deep Q-Networks (DQN) with neural network architectures. This approach offers significant potential for improving efficiency and adaptability in various fields, from robotics and resource management to financial modeling and healthcare.

Papers

October 6, 2023

Applying Reinforcement Learning to Option Pricing and Hedging
Zoran Stoiljkovic
Reinforcement Learning Reinforcement Learning Approach Option Pricing Hedging Strategy Black Scholes

September 5, 2023

A Survey on Physics Informed Reinforcement Learning: Review and Open Problems
Chayan Banerjee, Kien Nguyen, Clinton Fookes, Maziar Raissi
Reinforcement Learning Timely Survey Narrative Review Reinforcement Learning Approach Open Problem

July 19, 2023

A reinforcement learning approach for VQA validation: an application to diabetic macular edema grading
Tatiana Fountoukidou, Raphael Sznitman
Application Proficiency Visual Question Answering Medical Image Analysis Reinforcement Learning Approach

July 16, 2023

Facilitating Multi-turn Emotional Support Conversation with Positive Emotion Elicitation: A Reinforcement Learning Approach
Jinfeng Zhou, Zhuang Chen, Bo Wang, Minlie Huang
Target Emotion Reinforcement Learning Approach Dialogue Coherence Emotion Transition Dialogue Goal Support Conversation

July 13, 2023

Prescriptive Process Monitoring Under Resource Constraints: A Reinforcement Learning Approach
Mahmoud Shoush, Marlon Dumas
Reinforcement Learning Reinforcement Learning Approach Learning Agent Resource Constraint Prescriptive Process Monitoring

June 22, 2023

Sum-Rate Maximization of RSMA-based Aerial Communications with Energy Harvesting: A Reinforcement Learning Approach
Jaehyup Seong, Mesut Toka, Wonjae Shin
Reinforcement Learning Approach Power Allocation Balancing Efficiency Base Station Energy Harvesting Rate Splitting

June 13, 2023

Unified Off-Policy Learning to Rank: a Reinforcement Learning Perspective
Zeyu Zhang, Yi Su, Hui Yuan, Yiran Wu, Rishab Balasubramanian, Qingyun Wu, Huazheng Wang, Mengdi Wang
Offline Reinforcement Learning Policy Learning Stable Rank Reinforcement Learning Approach Offline Reinforcement Learning Algorithm Click Model

May 27, 2023

A Comparative Analysis of Portfolio Optimization Using Mean-Variance, Hierarchical Risk Parity, and Reinforcement Learning Approaches on the Indian Stock Market
Jaydip Sen, Aditya Jaiswal, Anshuman Pathak, Atish Kumar Majee, Kushagra Kumar, Manas Kumar Sarkar, Soubhik Maji
Learning Based Approach Reinforcement Learning Approach Portfolio Optimization Indian Stock Market Variance Portfolio Hierarchical Risk Parity Portfolio Optimization Model

May 12, 2023

Mastering Percolation-like Games with Deep Learning
Michael M. Danziger, Omkar R. Gojala, Sean P. Cornelius
Deep Learning Native Robustness Deep Q Learning Reinforcement Learning Approach Network Robustness Single Player Graph Building Game

April 26, 2023

Multi-criteria Hardware Trojan Detection: A Reinforcement Learning Approach
Amin Sarihi, Peter Jamieson, Ahmad Patooghy, Abdel-Hameed A. Badawy
Multi Objective Reinforcement Learning Approach Detection Method Detection Algorithm Hardware Trojan Hardware Trojan Detection

April 21, 2023

Reinforcement Learning Approaches for Traffic Signal Control under Missing Data
Hao Mei, Junxian Li, Bin Shi, Hua Wei
Reinforcement Learning Reinforcement Learning Approach Traffic Signal Control Missing Data

April 17, 2023

Reclaimer: A Reinforcement Learning Approach to Dynamic Resource Allocation for Cloud Microservices
Quintin Fettes, Avinash Karanth, Razvan Bunescu, Brandon Beckwith, Sreenivas Subramoney
Deep Reinforcement Learning Resource Allocation Reinforcement Learning Approach Microservice Architecture

March 9, 2023

Recent Advances of Deep Robotic Affordance Learning: A Reinforcement Learning Perspective
Xintong Yang, Ze Ji, Jing Wu, Yu-kun Lai
Reinforcement Learning Affordance Learning Recent Advance Reinforcement Learning Approach

February 15, 2023

Genetic multi-armed bandits: a reinforcement learning approach for discrete optimization via simulation
Deniz Preil, Michael Krapp
Reinforcement Learning Multi Armed Bandit Simulation Study Genetic Algorithm Reinforcement Learning Approach Stochastic Optimization Problem Discrete Optimization

February 7, 2023

Optimizing Audio Recommendations for the Long-Term: A Reinforcement Learning Perspective
Lucas Maystre, Daniel Russo, Yu Zhao
Reinforcement Learning Recommender System Long Term Personalized Recommendation Reinforcement Learning Approach Music Recommendation

January 27, 2023

ARiADNE: A Reinforcement learning approach using Attention-based Deep Networks for Exploration
Yuhong Cao, Tianxiang Hou, Yizhuo Wang, Xian Yi, Guillaume Sartoretti
Deep Reinforcement Learning Environment Exploration Autonomous Exploration Reinforcement Learning Approach Attention Based Deep Exploration Planner

January 9, 2023

Platoon Leader Selection, User Association and Resource Allocation on a C-V2X based highway: A Reinforcement Learning Approach
Mohammad Farzanullah, Tho Le-Ngoc
Resource Allocation Reinforcement Learning Approach USER Provided Name Platoon Control Power Allocation Highway Driving Vehicle to Vehicle Vehicle to Everything

January 4, 2023

UAV aided Metaverse over Wireless Communications: A Reinforcement Learning Approach
Peiyuan Si, Wenhan Yu, Jun Zhao, Kwok-Yan Lam, Qing Yang
Unmanned Aerial Vehicle Ubiquitous Semantic Metaverse Reinforcement Learning Approach Metaverse Service Collaborative Reinforcement Learning

December 22, 2022

Reinforcement Learning Based Approaches to Adaptive Context Caching in Distributed Context Management Systems
Shakthi Weerasinghe, Arkady Zaslavsky, Seng W. Loke, Amin Abken, Alireza Hassani
Reinforcement Learning Reinforcement Learning Approach Cache Context

December 17, 2022

Comparison of Model-Free and Model-Based Learning-Informed Planning for PointGoal Navigation
Yimeng Li, Arnab Debnath, Gregory J. Stein, Jana Kosecka
Consistent Comparison Learning Based Model Free Navigation Task Observable Markov Decision Process Reinforcement Learning Approach

Reinforcement Learning Approach

Papers

Applying Reinforcement Learning to Option Pricing and Hedging

A Survey on Physics Informed Reinforcement Learning: Review and Open Problems

A reinforcement learning approach for VQA validation: an application to diabetic macular edema grading

Facilitating Multi-turn Emotional Support Conversation with Positive Emotion Elicitation: A Reinforcement Learning Approach

Prescriptive Process Monitoring Under Resource Constraints: A Reinforcement Learning Approach

Sum-Rate Maximization of RSMA-based Aerial Communications with Energy Harvesting: A Reinforcement Learning Approach

Unified Off-Policy Learning to Rank: a Reinforcement Learning Perspective

A Comparative Analysis of Portfolio Optimization Using Mean-Variance, Hierarchical Risk Parity, and Reinforcement Learning Approaches on the Indian Stock Market

Mastering Percolation-like Games with Deep Learning

Multi-criteria Hardware Trojan Detection: A Reinforcement Learning Approach

Reinforcement Learning Approaches for Traffic Signal Control under Missing Data

Reclaimer: A Reinforcement Learning Approach to Dynamic Resource Allocation for Cloud Microservices

Recent Advances of Deep Robotic Affordance Learning: A Reinforcement Learning Perspective

Genetic multi-armed bandits: a reinforcement learning approach for discrete optimization via simulation

Optimizing Audio Recommendations for the Long-Term: A Reinforcement Learning Perspective

ARiADNE: A Reinforcement learning approach using Attention-based Deep Networks for Exploration

Platoon Leader Selection, User Association and Resource Allocation on a C-V2X based highway: A Reinforcement Learning Approach

UAV aided Metaverse over Wireless Communications: A Reinforcement Learning Approach

Reinforcement Learning Based Approaches to Adaptive Context Caching in Distributed Context Management Systems

Comparison of Model-Free and Model-Based Learning-Informed Planning for PointGoal Navigation