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

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 Average Reward Reinforcement Learning Approximate Policy Iteration Performance Bound Average Reward MDPs

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

November 28, 2022

Inapplicable Actions Learning for Knowledge Transfer in Reinforcement Learning
Leo Ardon, Alberto Pozanco, Daniel Borrajo, Sumitra Ganesh
Reinforcement Learning Action Space Knowledge Transfer Reinforcement Learning Algorithm Action Model Action Learning

November 20, 2022

Safe Reinforcement Learning using Data-Driven Predictive Control
Mahmoud Selim, Amr Alanwar, M. Watheq El-Kharashi, Hazem M. Abbas, Karl H. Johansson
Reinforcement Learning Data Driven Reinforcement Learning Algorithm Safe Reinforcement Learning Safety Layer

November 8, 2022

Pretraining in Deep Reinforcement Learning: A Survey
Zhihui Xie, Zichuan Lin, Junyou Li, Shuai Li, Deheng Ye
Reinforcement Learning Timely Survey Deep Reinforcement Learning Reinforcement Learning Algorithm

November 6, 2022

October 26, 2022

Quantum deep recurrent reinforcement learning
Samuel Yen-Chi Chen
Reinforcement Learning Deep Reinforcement Learning Quantum Machine Learning Reinforcement Learning Algorithm Quantum Physic Quantum Reinforcement Learning Q$ Learning