Reinforcement Learning Algorithm

Reinforcement learning (RL) algorithms train agents to make optimal decisions by interacting with an environment and maximizing cumulative rewards. Current research emphasizes improving RL's efficiency and stability, focusing on areas like model-based methods incorporating techniques such as Monte Carlo Tree Search, the development of novel algorithms for specific applications (e.g., traffic control, robotics), and addressing challenges in high-dimensional or partially observable environments. The impact of RL spans diverse fields, from optimizing resource allocation in complex systems to developing more effective personalized interventions in healthcare and improving the efficiency of robotic control systems.

Papers

April 17, 2023

A study on a Q-Learning algorithm application to a manufacturing assembly problem
Miguel Neves, Miguel Vieira, Pedro Neto
Reinforcement Learning Practical Algorithm Study Feature Q Learning Reinforcement Learning Algorithm Assembly Task

April 11, 2023

Control invariant set enhanced reinforcement learning for process control: improved sampling efficiency and guaranteed stability
Song Bo, Xunyuan Yin, Jinfeng Liu
Reinforcement Learning High Efficiency External Control Core Stability Reinforcement Learning Algorithm Safe Reinforcement Learning Stability Guarantee Closed Loop Stability Process Control

April 3, 2023

March 31, 2023

Understanding Reinforcement Learning Algorithms: The Progress from Basic Q-learning to Proximal Policy Optimization
Mohamed-Amine Chadi, Hajar Mousannif
Reinforcement Learning Artificial Intelligence Q Learning Proximal Policy Optimization Reinforcement Learning Algorithm Much Progress State of the Art Algorithm

March 24, 2023

March 14, 2023

Act-Then-Measure: Reinforcement Learning for Partially Observable Environments with Active Measuring
Merlijn Krale, Thiago D. Simão, Nils Jansen
Reinforcement Learning Markov Decision Process Reinforcement Learning Algorithm Observable Environment

March 9, 2023

Evolving Populations of Diverse RL Agents with MAP-Elites
Thomas Pierrot, Arthur Flajolet
Reinforcement Learning Reinforcement Learning Algorithm Quality Diversity MAP Elite

February 28, 2023

Human-Inspired Framework to Accelerate Reinforcement Learning
Ali Beikmohammadi, Sindri Magnússon
Reinforcement Learning Reinforcement Learning Algorithm Sample Efficient

February 26, 2023

Revolutionizing Genomics with Reinforcement Learning Techniques
Mohsen Karami, Roohallah Alizadehsani, Khadijeh, Jahanian, Ahmadreza Argha, Iman Dehzangi, Hamid Alinejad-Rokny
Reinforcement Learning Reinforcement Learning Algorithm

February 7, 2023

Online Reinforcement Learning with Uncertain Episode Lengths
Debmalya Mandal, Goran Radanovic, Jiarui Gan, Adish Singla, Rupak Majumdar
Reinforcement Learning Algorithm Online Reinforcement Learning Episodic Reinforcement Learning Uncertain Episode Length

February 2, 2023

Performance Bounds for Policy-Based Average Reward Reinforcement Learning Algorithms
Yashaswini Murthy, Mehrdad Moharrami, R. Srikant
Reinforcement Learning Algorithm Approximate Policy Iteration Average Reward Reinforcement Learning Average Reward MDPs Performance Bound

January 2, 2023

Deep Reinforcement Learning for Asset Allocation: Reward Clipping
Jiwon Kim, Moon-Ju Kang, KangHun Lee, HyungJun Moon, Bo-Kwan Jeon
Reinforcement Learning Deep Reinforcement Learning Reinforcement Learning Algorithm Reward Report Portfolio Optimization Asset Allocation

December 28, 2022

Improving a sequence-to-sequence nlp model using a reinforcement learning policy algorithm
Jabri Ismail, Aboulbichr Ahmed, El ouaazizi Aziza
Chatbot Response Reinforcement Learning Algorithm Sequence to Sequence Dialogue Generation Neural Conversational Dialogue Simulation

December 24, 2022

Automated Gadget Discovery in Science
Lea M. Trenkwalder, Andrea López Incera, Hendrik Poulsen Nautrup, Fulvio Flamini, Hans J. Briegel
Reinforcement Learning Reinforcement Learning Algorithm Quantum Circuit Science Journalism Quantum Reinforcement Learning Quantum Information Processing Product Discovery

December 12, 2022

A Survey on Reinforcement Learning Security with Application to Autonomous Driving
Ambra Demontis, Maura Pintor, Luca Demetrio, Kathrin Grosse, Hsiao-Ying Lin, Chengfang Fang, Battista Biggio, Fabio Roli
Reinforcement Learning Timely Survey Autonomous Driving Application Proficiency Reinforcement Learning Algorithm

December 2, 2022

Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery
Yiqin Yang, Hao Hu, Wenzhe Li, Siyuan Li, Jun Yang, Qianchuan Zhao, Chongjie Zhang
Offline Reinforcement Learning External Control Reinforcement Learning Algorithm Flow Mood Simple Primitive Hierarchical Policy

December 1, 2022

Kick-motion Training with DQN in AI Soccer Environment
Bumgeun Park, Jihui Lee, Taeyoung Kim, Dongsoo Har
Reinforcement Learning Reinforcement Learning Algorithm Deep Q Network AI Soccer

November 30, 2022

Efficient Reinforcement Learning Through Trajectory Generation
Wenqi Cui, Linbin Huang, Weiwei Yang, Baosen Zhang
Reinforcement Learning Offline Reinforcement Learning Reinforcement Learning Algorithm Trajectory Generation Efficient Reinforcement Learning Linear Control

Reinforcement Learning Algorithm

Papers

A study on a Q-Learning algorithm application to a manufacturing assembly problem

Control invariant set enhanced reinforcement learning for process control: improved sampling efficiency and guaranteed stability

PyFlyt -- UAV Simulation Environments for Reinforcement Learning Research

Quantitative Trading using Deep Q Learning

Understanding Reinforcement Learning Algorithms: The Progress from Basic Q-learning to Proximal Policy Optimization

Sequential Knockoffs for Variable Selection in Reinforcement Learning

Safe and Sample-efficient Reinforcement Learning for Clustered Dynamic Environments

Act-Then-Measure: Reinforcement Learning for Partially Observable Environments with Active Measuring

Evolving Populations of Diverse RL Agents with MAP-Elites

Human-Inspired Framework to Accelerate Reinforcement Learning

Revolutionizing Genomics with Reinforcement Learning Techniques

Online Reinforcement Learning with Uncertain Episode Lengths

Performance Bounds for Policy-Based Average Reward Reinforcement Learning Algorithms

Deep Reinforcement Learning for Asset Allocation: Reward Clipping

Improving a sequence-to-sequence nlp model using a reinforcement learning policy algorithm

Automated Gadget Discovery in Science

A Survey on Reinforcement Learning Security with Application to Autonomous Driving

Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery

Kick-motion Training with DQN in AI Soccer Environment

Efficient Reinforcement Learning Through Trajectory Generation