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

November 5, 2024

An Open-source Sim2Real Approach for Sensor-independent Robot Navigation in a Grid
Murad Mehrab Abrar, Souryadeep Mondal, Michelle Hickner
Autonomous Navigation Obstacle Avoidance Reinforcement Learning Algorithm Simulation Environment Autonomous Robot Navigation Grid World Grid SiPhyR Sim2real Strategy

October 24, 2024

SAMG: State-Action-Aware Offline-to-Online Reinforcement Learning with Offline Model Guidance
Liyu Zhang, Haochi Wu, Xu Wan, Quan Kong, Ruilong Deng, Mingyang Sun
Reinforcement Learning Reinforcement Learning Algorithm Offline Policy Adversarial Team Game

October 22, 2024

October 21, 2024

A Plug-and-Play Fully On-the-Job Real-Time Reinforcement Learning Algorithm for a Direct-Drive Tandem-Wing Experiment Platforms Under Multiple Random Operating Conditions
Zhang Minghao, Song Bifeng, Yang Xiaojun, Wang Liang
Reinforcement Learning Practical Algorithm Reinforcement Learning Algorithm Plug and Play Aerodynamic Force Flight Test

October 15, 2024

Exploiting Risk-Aversion and Size-dependent fees in FX Trading with Fitted Natural Actor-Critic
Vito Alessandro Monaco, Antonio Riva, Luca Sabbioni, Lorenzo Bisi, Edoardo Vittori, Marco Pinciroli, Michele Trapletti, Marcello Restelli
Reinforcement Learning Algorithm Risk Aversion Intraday Market Trading System

October 10, 2024

Rethinking Adversarial Inverse Reinforcement Learning: From the Angles of Policy Imitation and Transferable Reward Recovery
Yangchun Zhang, Wang Zhou, Yirui Zhou
Proximal Policy Optimization Reinforcement Learning Algorithm Inverse Reinforcement Learning Tilting Angle Policy Actor Critic Imitation Policy Adversarial Inverse Reinforcement Learning

October 2, 2024

Finding path and cycle counting formulae in graphs with Deep Reinforcement Learning
Jason Piquenot, Maxime Bérar, Pierre Héroux, Jean-Yves Ramel, Romain Raveaux, Sébastien Adam
Deep Reinforcement Learning Graph Drawing Monte Carlo Tree Search Reinforcement Learning Algorithm Path Finding Context Free Grammar Probabilistic Context Free Grammar Subgraph Counting

September 12, 2024

Stochastic Reinforcement Learning with Stability Guarantees for Control of Unknown Nonlinear Systems
Thanin Quartz, Ruikun Zhou, Hans De Sterck, Jun Liu
Reinforcement Learning External Control Reinforcement Learning Algorithm Stability Guarantee Unknown Nonlinear System

September 9, 2024

An Introduction to Quantum Reinforcement Learning (QRL)
Samuel Yen-Chi Chen
Reinforcement Learning Quantum Computing Reinforcement Learning Algorithm Gentle Introduction Sequential Decision Making Problem Quantum Reinforcement Learning

August 28, 2024

Adaptive Traffic Signal Control Using Reinforcement Learning
Muhammad Tahir Rafique, Ahmed Mustafa, Hasan Sajid
Reinforcement Learning Reinforcement Learning Algorithm Traffic Scenario Traffic Signal Control Traffic Network Adaptive Traffic Signal Control

August 27, 2024

August 20, 2024

Accelerating Goal-Conditioned RL Algorithms and Research
Michał Bortkiewicz, Władek Pałucki, Vivek Myers, Tadeusz Dziarmaga, Tomasz Arczewski, Łukasz Kuciński, Benjamin Eysenbach
Reinforcement Learning Reinforcement Learning Algorithm DH Research Self Supervision Goal Conditioned Reinforcement Learning Contrastive Reinforcement Learning

August 18, 2024

Exploratory Optimal Stopping: A Singular Control Formulation
Jodi Dianetti, Giorgio Ferrari, Renyuan Xu
Reinforcement Learning Algorithm Reinforcement Learning Approach Optimal Stopping Problem

August 15, 2024

IReCa: Intrinsic Reward-enhanced Context-aware Reinforcement Learning for Human-AI Coordination
Xin Hao, Bahareh Nakisa, Mohmmad Naim Rastgoo, Richard Dazeley
Reinforcement Learning Algorithm Sparse Reward Intrinsic Reward Human AI Coordination

August 13, 2024

An Introduction to Reinforcement Learning: Fundamental Concepts and Practical Applications
Majid Ghasemi, Amir Hossein Moosavi, Ibrahim Sorkhoh, Anjali Agrawal, Fadi Alzhouri, Dariush Ebrahimi
Reinforcement Learning Artificial Intelligence Reinforcement Learning Algorithm Gentle Introduction Practical Application Basic Concept Training Agent

August 10, 2024

In-Context Exploiter for Extensive-Form Games
Shuxin Li, Chang Yang, Youzhi Zhang, Pengdeng Li, Xinrun Wang, Xiao Huang, Hau Chan, Bo An
Nash Equilibrium Reinforcement Learning Algorithm Game Theory Extensive Form Game Context Injection

August 7, 2024

Reinforcement Learning Algorithm

Papers

An Open-source Sim2Real Approach for Sensor-independent Robot Navigation in a Grid

SAMG: State-Action-Aware Offline-to-Online Reinforcement Learning with Offline Model Guidance

DROP: Distributional and Regular Optimism and Pessimism for Reinforcement Learning

SmartRAG: Jointly Learn RAG-Related Tasks From the Environment Feedback

A Plug-and-Play Fully On-the-Job Real-Time Reinforcement Learning Algorithm for a Direct-Drive Tandem-Wing Experiment Platforms Under Multiple Random Operating Conditions

Exploiting Risk-Aversion and Size-dependent fees in FX Trading with Fitted Natural Actor-Critic

Rethinking Adversarial Inverse Reinforcement Learning: From the Angles of Policy Imitation and Transferable Reward Recovery

Finding path and cycle counting formulae in graphs with Deep Reinforcement Learning

Stochastic Reinforcement Learning with Stability Guarantees for Control of Unknown Nonlinear Systems

An Introduction to Quantum Reinforcement Learning (QRL)

Adaptive Traffic Signal Control Using Reinforcement Learning

MiWaves Reinforcement Learning Algorithm

Benchmarking Reinforcement Learning Methods for Dexterous Robotic Manipulation with a Three-Fingered Gripper

Accelerating Goal-Conditioned RL Algorithms and Research

Exploratory Optimal Stopping: A Singular Control Formulation

IReCa: Intrinsic Reward-enhanced Context-aware Reinforcement Learning for Human-AI Coordination

An Introduction to Reinforcement Learning: Fundamental Concepts and Practical Applications

In-Context Exploiter for Extensive-Form Games

Learning Rate-Free Reinforcement Learning: A Case for Model Selection with Non-Stationary Objectives

AI-Driven approach for sustainable extraction of earth's subsurface renewable energy while minimizing seismic activity