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.

181papers

Papers

May 19, 2025

Augmenting Online RL with Offline Data is All You Need: A Unified Hybrid RL Algorithm Design and Analysis
Ruiquan Huang, Donghao Li, Chengshuai Shi, Cong Shen, Jing Yang
The Pennsylvania State University●University of Virginia●Bloomberg
Reinforcement Learning Algorithm Sub Optimal Policy Regret Minimization General Analysis Linear Contextual Bandit Offline Data

May 16, 2025

Reinforcement Learning Finetunes Small Subnetworks in Large Language Models
Sagnik Mukherjee, Lifan Yuan, Dilek Hakkani-Tur, Hao Peng
University of Illinois Urbana-Champaign
Sparse Update Reinforcement Learning Algorithm Full Model Tiny Machine Learning Reinforcement Learning Large Language

March 18, 2025

CTSAC: Curriculum-Based Transformer Soft Actor-Critic for Goal-Oriented Robot Exploration
Chunyu Yang, Shengben Bi, Yihui Xu, Xin Zhang
China University of Mining and Technology
Autonomous Exploration Goal Oriented Soft Actor Critic Differentiable RANSAC Reinforcement Learning Reinforcement Learning Algorithm

March 13, 2025

SortingEnv: An Extendable RL-Environment for an Industrial Sorting Process
Tom Maus, Nico Zengeler, Tobias Glasmachers
Ruhr-University Bochum
Deep Q Network Novel Reinforcement Learning Auxiliary Sorting Network Rearranges Reinforcement Learning Environment Complex Process Agent Behavior Reinforcement Learning Algorithm Material Separation

March 10, 2025

AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning
Bo Jiang, Shaoyu Chen, Qian Zhang, Wenyu Liu, Xinggang Wang
Huazhong University of Science and Technology●Horizon Robotics
Reinforcement Learning Reinforcement Learning Algorithm Multimodal Planning Autonomous Driving Vision Language Model Complex Reasoning

March 7, 2025

Performance Comparisons of Reinforcement Learning Algorithms for Sequential Experimental Design
Yasir Zubayr Barlas, Kizito Salako
The University of Manchester●University of London
Reinforcement Learning Sequential Experimental Design Reinforcement Learning Algorithm Performance Comparison

February 22, 2025

Statistical Inference in Reinforcement Learning: A Selective Survey
Chengchun Shi
London School of Economics and Political Science
Statistical Inference Timely Survey Reinforcement Learning Classical Data Reinforcement Learning Algorithm

February 12, 2025

Necessary and Sufficient Oracles: Toward a Computational Taxonomy For Reinforcement Learning
Dhruv Rohatgi, Dylan J. Foster
Reinforcement Learning State Space Reward Free Exploration Comprehensive Taxonomy Reinforcement Learning Algorithm

February 5, 2025

Reveal the Mystery of DPO: The Connection between DPO and RL Algorithms
Xuerui Su, Yue Wang, Jinhua Zhu, Mingyang Yi, Feng Xu, Zhiming Ma, Yuting Liu
Policy Distribution Proximal Policy Optimization Mystery Suspense Whodunit Loss Function New Connection Reinforcement Learning Algorithm Reinforcement Learning Preference Alignment

February 1, 2025

Learning from Suboptimal Data in Continuous Control via Auto-Regressive Soft Q-Network
Jijia Liu, Feng Gao, Qingmin Liao, Chao Yu, Yu Wang
Reinforcement Learning LeArning Abstract Soft Q Learning Continuous Control Reinforcement Learning Algorithm Action Space Value Based Reinforcement Learning Auto Regressive

January 27, 2025

FuzzyLight: A Robust Two-Stage Fuzzy Approach for Traffic Signal Control Works in Real Cities
Mingyuan Li, Jiahao Wang, Bo Du, Jun Shen, Qiang Wu
Urban Environment Reinforcement Learning Algorithm Traffic Signal Control Traffic Efficiency Reinforcement Learning Publication Title

January 16, 2025

PixelBrax: Learning Continuous Control from Pixels End-to-End on the GPU
Trevor McInroe, Samuel Garcin
Continuous Control Single GPU Reinforcement Learning Algorithm Reinforcement Learning Pixel Wise

December 30, 2024

December 26, 2024

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

December 14, 2024

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

December 9, 2024

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

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 Stable Training Reinforcement Learning Algorithm Physic Based

November 27, 2024

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

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

Reinforcement Learning Algorithm

Papers

Augmenting Online RL with Offline Data is All You Need: A Unified Hybrid RL Algorithm Design and Analysis

Reinforcement Learning Finetunes Small Subnetworks in Large Language Models

CTSAC: Curriculum-Based Transformer Soft Actor-Critic for Goal-Oriented Robot Exploration

SortingEnv: An Extendable RL-Environment for an Industrial Sorting Process

AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning

Performance Comparisons of Reinforcement Learning Algorithms for Sequential Experimental Design

Statistical Inference in Reinforcement Learning: A Selective Survey

Necessary and Sufficient Oracles: Toward a Computational Taxonomy For Reinforcement Learning

Reveal the Mystery of DPO: The Connection between DPO and RL Algorithms

Learning from Suboptimal Data in Continuous Control via Auto-Regressive Soft Q-Network

FuzzyLight: A Robust Two-Stage Fuzzy Approach for Traffic Signal Control Works in Real Cities

PixelBrax: Learning Continuous Control from Pixels End-to-End on the GPU

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

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!