Reinforcement Learning

Also known as RL

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144 papers in the last four weeks, up 243% on the four weeks before. 1.4% of all new papers.

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Latest papers 1,138

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Trading Confidence: Comprehensive Uncertainty Estimation in Algorithmic Trading
Jul 3, 2026Lin Li, Li Rong Wang, Hsuan Fu +1Reinforcement Learning Uncertainty Quantification
Nanyang Technological University 50 Nanyang Avenue, Singapore · Nanyang Technological University Centre for Frontier AI Research, A*STAR 50 Nanyang Avenue, Singapore · Laval University Quebec, Canada
Generalization in offline RL: The structure is more important than the amount of pessimism
Jul 2, 2026Max Weltevrede, Matthijs T. J. Spaan, Wendelin BöhmerReinforcement Learning Offline RL
Delft University of Technology, Delft, The Netherlands
Cross-Platform Control for Autonomous Surface Vehicles via Adaptive Reinforcement Learning
Jul 2, 2026Ruiheng Jiang, Thomas Bi, Raffaello D'Andrea +1Robotic Control Robot Trajectory Tracking
Institute for Dynamic Systems and Control, ETH Zurich, Switzerland.
Full Bayesian Reinforcement Learning via LF-IBIS
Jul 2, 2026Stefano Masini, Cecilia Viscardi, Michela BacciniSimulation-Based Inference Reinforcement Learning
Department of Computer Science, University of Pisa, Italy · Department of Economics and Statistics, University of Salerno, Italy · Department of Statistics, Computer Science, Applications ”G.Parenti”, University of Florence, Italy
Reward Observability and the Limits of Offline Checkpoint Selection in RSSM World Models
Jul 2, 2026Nikolai Smolyanskiy, Jonathan ShockReinforcement Learning Latent World Models
One Demonstration Is Enough for Real-World Robotic Reinforcement Learning
Jul 2, 2026Yuwan Liu, Hongze Yu, Song Liu +5Reinforcement Learning Robot Skill Learning
National Key Laboratory of Cognition and Decision Intelligence for Complex Systems, Institution of Automation, Chinese Academy of Sciences, Beijing, China · Beijing Academy of Artificial Intelligence, Beijing, China · PKU-PsiBot Joint Lab, Beijing, China +2
Mean Field Reinforcement Learning
Jul 1, 2026René Carmona, Mathieu LaurièreReinforcement Learning Q-Learning
Department of Operations Research and Financial Engineering & Program in Applied and Computational Mathematics, Princeton NJ 08544, USA · Shanghai Frontiers Science Center of Artificial Intelligence and Deep Learning; NYU-ECNU Institute of Mathematical Sciences at NYU Shanghai; NYU Shanghai, 567 West Yangsi Road, Shanghai, 200126, People’s Republic of China
The Rollout Infrastructure Tax in Coding-Agent Reinforcement Learning
Jul 1, 2026Daniel Thi Graviet, Lovre Pesut, Ivan Dagelic +2RL for Code Generation Software Engineering Agents
Daytona United States
Scaling Laws for Collapse in Asynchronous GRPO
Jul 1, 2026Jingwei Song, Haofeng Xu, Jie Xiao +7Asynchronous RL Reinforcement Learning
The University of Hong Kong · Shanghai Jiao Tong University · Gradient +2
From Pixels to Temporal Correlations: Learning Informative Representations for Reinforcement Learning Pre-training
Jul 1, 2026Jinwen Wang, Youfang Lin, Xiaobo Hu +4Contrastive Learning Reinforcement Learning
School of Computer Science & Technology, Beijing Jiaotong University, Beijing, China · Beijing Key Laboratory of Traffic Data Mining and Embodied Intelligence, Beijing Jiaotong University, Beijing, China · Beijing Jiaotong University, Beijing, China
Coachable agents for interactive gameplay
Jul 1, 2026Roberto Capobianco, Harm van Seijen, Nolan D. Bard +38Reinforcement Learning
Sony AI, Zurich, Switzerland · Sony AI, North America, various locations · Sony AI, Tokyo, Japan
Gauging, Measuring, and Controlling Critic Complexity in Actor-Critic Reinforcement Learning
Jul 1, 2026Konstantin GarbersReinforcement Learning Actor-Critic Methods
Peking University
Learning Gait-Aware Quadruped Locomotion with Temporal Logic Specifications
Jul 1, 2026Merve Atasever, Cagan Bakirci, Alfredo Reina Corona +2Reinforcement Learning Robot Skill Learning
University of Southern California, Los Angeles, California, USA
Learning Generalizable Skill Policy with Data-Efficient Unsupervised RL
Jul 1, 2026Jongchan Park, Seungjun Oh, Seungho Baek +1Reinforcement Learning Robot Policy Generalization
Department of Artificial Intelligence, Sungkyunkwan University, Suwon, Republic of Korea · Department of Computer Science and Engineering, Sungkyunkwan University, Suwon, Republic of Korea
SLIM-RL: Risk-Budgeted Random-Masking RL for Diffusion LLMs Without Trajectory Slicing
Jun 30, 2026Ruikang Zhao, Zhenting Wang, Han Gao +1Reinforcement Learning RL for Language Model Reasoning
Technical University of Denmark · MBZUAI Institute of Foundation Models · Iowa State University +1
A Contextual-Bandit Oversight Game with Two-Sided Informational Asymmetry
Jun 30, 2026Yunjin TongReinforcement Learning Imperfect-Information Games
Stanford Graduate School of Business
GRPO, Dr. GRPO, and DAPO Are Three Operations on One Number: The Group-Standard-Deviation Identity
Jun 30, 2026Yong Yi Bay, Kathleen A. YearickReinforcement Learning RL for Language Model Reasoning
PhD, University of Illinois at Urbana-Champaign
Reinforcement Learning with Metacognitive Feedback Elicits Faithful Uncertainty Expression in LLMs
Jun 30, 2026Gabrielle Kaili-May Liu, Avi Caciularu, Gal Yona +2RL for Language Models Reinforcement Learning
Yale University · Google Research
Adapting Generalist Robot Policies with Semantic Reinforcement Learning
Jun 30, 2026Jagdeep Singh Bhatia, Andrew Wagenmaker, William Chen +1Robot Policy Learning Robot Policy Adaptation
U.C. Berkeley
Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions
Jun 30, 2026Mingyi Li, Taira Tsuchiya, Kenji YamanishiRegret Minimization in RL Markov Decision Processes
Department of Mathematical Informatics, The University of Tokyo · Center for Advanced Intelligence Project, RIKEN
UniCoder: Unified Visual-to-Code Generation via Symbolic Rewards and Reference-Guided Code Optimization
Jun 30, 2026Yaozhi Zheng, Yilei Jiang, Manyuan Zhang +5RL for Code Generation Reinforcement Learning
The Chinese University of Hong Kong · Shanghai Artificial Intelligence Laboratory
FastDSAC: Enhancing Policy Plasticity via Constrained Exploration for Scalable Humanoid Locomotion
Jun 30, 2026Guanchen Lu, Yajuan Dun, Yi Zhou +4Distributional RL Reinforcement Learning
Chongqing University, Chongqing 400044, China · Ministry of Industry and Information Technology, Beijing 100804, China · Tsinghua University, Beijing 100084, China +1
Which Tokens Matter? Adaptive Token Selection for RLVR with the Relative Surprisal Index
Jun 30, 2026Outongyi Lv, Yanzhao Zheng, Yuanwei Zhang +5Reinforcement Learning RL for Language Model Reasoning
1ModelScope Team, 2Alibaba Group, Hangzhou, China. · 3Shanghai Jiao Tong University, Shanghai, China.
ReGRPO: Reflection-Augmented Policy Optimization for Tool-Using Agents
Jun 30, 2026Binjie Zhang, Mike Zheng ShouReinforcement Learning Group Relative Policy Optimization
Show Lab, National University of Singapore
Revealing Safety-Critical Scenarios for UTM via Transformer
Jun 30, 2026Huaze Tang, Bill Zeng, Chao Wang +3Reinforcement Learning Intelligent Transportation Systems
Tsinghua University · Meituan
Offline Reinforcement Learning for Fluid Controls: Data-based Multi-observational Policy Extraction
Jun 30, 2026Deepak Akhare, Luning Sun, Xin-Yang Liu +4RL Control Reinforcement Learning
Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN · Lawrence Livermore National Laboratory, University of Notre Dame, Livermore, CA · Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY, USA
HyPOLE: Hyperproperty-Guided Multi-Agent Reinforcement Learning under Partial Observation
Jun 29, 2026Arshia Rafieioskouei, Tzu-Han Hsu, Matthew Lucas +1Reinforcement Learning Partially Observable RL
Department of Computer Science and Engineering, Michigan State University, MI, USA.
Learning Where to Look: A Reinforcement Learning Framework for Robust Micro-Ultrasound Prostate Cancer Detection
Jun 29, 2026Mohammad Mahdi Abootorabi, Sina Namazi, Armin Saadat +7Medical Imaging Reinforcement Learning
The University of British Columbia, Vancouver, BC, Canada · Vector Institute, Toronto, ON, Canada · Queen’s University, Kingston, ON, Canada +1
Experience Augmented Policy Optimization for LLM Reasoning
Jun 29, 2026Jinda Lu, Kexin Huang, Junkang Wu +7Reinforcement Learning RL for Language Model Reasoning
University of Science and Technology of China · 2Peking University · 3Dartmouth College +1
Exploration and Online Transfer with Behavioral Foundation Models
Jun 29, 2026Louis Bagot, Mathieu Lefort, Laëtitia MatignonReinforcement Learning RL Exploration
SyCoSMA · Université Lyon 1, CNRS, INSA Lyon LIRIS - UMR5205, 69622 Villeurbanne, France · LIRIS, SyCoSMA, IRISA, MALT, UR +1

Jul 3, 2026, cs.LGJ/K move · Enter open · S save

Trading Confidence: Comprehensive Uncertainty Estimation in Algorithmic Trading

Lin Li, Li Rong Wang, Hsuan Fu, Xiuyi Fan

Nanyang Technological University 50 Nanyang Avenue, Singapore · Nanyang Technological University Centre for Frontier AI Research, A*STAR 50 Nanyang Avenue, Singapore · Laval University Quebec, Canada

Reinforcement Learning Uncertainty Quantification Aleatoric Uncertainty Algorithmic Trading Epistemic Uncertainty

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Reinforcement Learning (RL) has emerged as a powerful approach in financial trading, enabling agents to learn optimal strategies through direct market interaction. However, financial markets are highly uncertain, with price fluctuations driven by stochastic volatility, model limitations, and regime shifts. Traditional RL models struggle in dynamic environments, often failing to adapt to sudden market disruptions, leading to suboptimal trading decisions. To address this challenge, we propose an uncertainty-aware RL framework that integrates distributional, epistemic, and aleatoric uncertainty estimations. Our approach enhances uncertainty estimation using SHAP-weighted reconstruction uncertainty, MC Dropout, and an LSTM-based technical indicator consensus mechanism. Experimental results on five major U.S. stock indices demonstrate that RL agents equipped with uncertainty estimation significantly outperform traditional models in return and risk management. This study advances uncertainty estimation in RL-based financial trading, with future research extending its application to other asset classes and alternative RL architectures for greater adaptability.

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Latest papers 1,138