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

December 30, 2024

December 26, 2024

Optimizing Fantasy Sports Team Selection with Deep Reinforcement Learning
Shamik Bhattacharjee, Kamlesh Marathe, Hitesh Kapoor, Nilesh Patil
Reinforcement Learning LeArning Abstract Reinforcement Learning Algorithm Deep Reinforcement Agent Team Fantasy Football

December 14, 2024

Adaptive Reward Design for Reinforcement Learning in Complex Robotic Tasks
Minjae Kwon, Ingy ElSayed-Aly, Lu Feng
Reinforcement Learning Reward Function Reinforcement Learning Algorithm New Task Sparse Reward Complex Robotic System Adaptive Incentive

December 9, 2024

Bounded Exploration with World Model Uncertainty in Soft Actor-Critic Reinforcement Learning Algorithm
Ting Qiao, Henry Williams, David Valencia, Bruce MacDonald
Deep Reinforcement Learning Environment Exploration Reinforcement Learning Algorithm World Model Actor Critic Algorithm Intrinsic Motivation

December 3, 2024

Conformal Symplectic Optimization for Stable Reinforcement Learning
Yao Lyu, Xiangteng Zhang, Shengbo Eben Li, Jingliang Duan, Letian Tao, Qing Xu, Lei He, Keqiang Li
Deep Reinforcement Learning Reinforcement Learning Algorithm Physic Based Stable Training

November 27, 2024

Dependency-Aware CAV Task Scheduling via Diffusion-Based Reinforcement Learning
Xiang Cheng, Zhi Mao, Ying Wang, Wen Wu
LeArning Abstract Reinforcement Learning Algorithm Task Scheduling Diffusion Policy Adaptive Scheduling Subtask Assignment

November 21, 2024

Model Checking for Reinforcement Learning in Autonomous Driving: One Can Do More Than You Think!
Rong Gu (Mälardalen University)
Reinforcement Learning Autonomous Driving Reinforcement Learning Algorithm Model Checking

November 20, 2024

Provably Efficient Action-Manipulation Attack Against Continuous Reinforcement Learning
Zhi Luo, Xiyuan Yang, Pan Zhou, Di Wang
Reinforcement Learning Reinforcement Learning Algorithm Continuous Speech

November 18, 2024

Regret-Free Reinforcement Learning for LTL Specifications
Rupak Majumdar, Mahmoud Salamati, Sadegh Soudjani
Reinforcement Learning Reinforcement Learning Algorithm Temporal Logic

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

On Reward Transferability in Adversarial Inverse Reinforcement Learning: Insights from Random Matrix Theory
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

Reinforcement Learning Algorithm

Papers

Weber-Fechner Law in Temporal Difference learning derived from Control as Inference

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret

Optimizing Fantasy Sports Team Selection with Deep Reinforcement Learning

Adaptive Reward Design for Reinforcement Learning in Complex Robotic Tasks

Bounded Exploration with World Model Uncertainty in Soft Actor-Critic Reinforcement Learning Algorithm

Conformal Symplectic Optimization for Stable Reinforcement Learning

Dependency-Aware CAV Task Scheduling via Diffusion-Based Reinforcement Learning

Model Checking for Reinforcement Learning in Autonomous Driving: One Can Do More Than You Think!

Provably Efficient Action-Manipulation Attack Against Continuous Reinforcement Learning

Regret-Free Reinforcement Learning for LTL Specifications

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

On Reward Transferability in Adversarial Inverse Reinforcement Learning: Insights from Random Matrix Theory

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)