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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Redesigning Regularization for Effective Policy Smoothing
Jun 11, 2026Taisuke Kobayashi, Naoto YamanakaReinforcement Learning
National Institute of Informatics (NII) and with The Graduate University for Advanced Studies (SOKENDAI), 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo, 101-8430, Japan
SENTINEL: Failure-Driven Reinforcement Learning for Training Tool-Using Language Model Agents
Jun 11, 2026Ziyi Wang, Yuxuan Lu, Yimeng Zhang +8AI Agent Reliability Reinforcement Learning
Northeastern University · Independent Researcher · Northwestern University
Learning to Adapt: Representation-Based Reinforcement Learning for Multi-Task Skill Transfer
Jun 11, 2026Aryan Naveen, Haitong Ma, Haldun Balim +1RL for Robotics Reinforcement Learning
Massachusetts Institute of Technology · Harvard School of Engineering and Applied Sciences
Graph Reinforcement Learning for Calibration-Aware Quantum Circuit Routing
Jun 11, 2026Yash Vardhan Tomar, Dheeraj PeddireddyReinforcement Learning Quantum Circuit Compilation
Purdue University West Lafayette, USA
Stubborn: A Streamlined and Unified Reinforcement Learning Framework for Robust Motion Tracking and Fall Recovery for Humanoids
Jun 11, 2026Xiao Ren, Yuhui Yang, Zongbiao Weng +2RL for Robotics Reinforcement Learning
Southern University of Science and Technology, Shenzhen 518055, China
SymQNet: Amortized Acquisition for Low-Latency Adaptive Hamiltonian Learning
Jun 11, 2026Yash Vardhan Tomar, Dheeraj PeddireddyReinforcement Learning Quantum System Identification
Purdue University West Lafayette, United States
UniIntervene: Agentic Intervention for Efficient Real-World Reinforcement Learning
Jun 10, 2026Haoyuan Deng, Yitong Gao, Yudong Lin +3Agentic RL Reinforcement Learning
Nanyang Technological University · Beijing University of Posts and Telecommunications
The Artificial Experimentalist: Discovery and Control of Self-Organizing Phenomena with Autotelic Reinforcement Learning
Jun 10, 2026Marko Cvjetko, Benedikt Hartl, Michael Levin +2Agentic RL Reinforcement Learning
Inria Centre at the University of Bordeaux, Bordeaux, France · Allen Discovery Center at Tufts University, Medford, MA, USA · Wyss Institute for Biologically Inspired Engineering at Harvard University, Boston, MA, USA +1
The Art of Interrogation: Consistency Amplifies Factuality in Spatial Reasoning
Jun 10, 2026Theo Uscidda, Marta Tintore Gazulla, Maks Ovsjanikov +2Reinforcement Learning 3D Spatial Reasoning
CREST, ENSAE, Institut Polytechnique de Paris · Google Zurich · Google DeepMind
Space-sampled Value Decay: Forgetting Mechanisms for Non-stationary Deep Reinforcement Learning
Jun 10, 2026Felix Störck, Fabian Hinder, Barbara HammerNon-Stationary RL Reinforcement Learning
CITEC, Faculty of Technology, Bielefeld University, Germany.
ReCal: Reward Calibration for RL-based LLM Routing
Jun 10, 2026Qihang Yu, Hanwen Tong, Zhengqi Zhang +5Multi-Objective Reinforcement Learning RL for Language Models
Zhejiang University · Ant Group · Shanghai AI Laboratory
IAPO: Input Attribution-Aware Policy Optimization for Tool Use in Small Multimodal Agents
Jun 10, 2026Yifan Yang, Zhen Zhang, Jiayi Tian +2Tool Use in VLMs Reinforcement Learning
University of California, Santa Barbara
Breaking the Solver Bottleneck: Training Task Generators at the Learnable Frontier
Jun 10, 2026Lorenz Wolf, Connor Watts, Roger Creus Castanyer +4Reinforcement Learning Synthetic Benchmark Generation
Vmax · Goodfire
Learning Object Manipulation from Scratch via Contrastive Interaction
Jun 10, 2026Tongle Shen, Caleb Chuck, Fan Feng +1Dynamical Systems Reinforcement Learning
1UC San Diego · 2UT Austin
RoboNaldo: Accurate, Stable and Powerful Humanoid Soccer Shooting via Motion-Guided Curriculum Reinforcement Learning
Jun 9, 2026Yichao Zhong, Yidan Lu, Yuhang Lu +9Reinforcement Learning Robot Skill Learning
The University of Hong Kong · Archon Robotics · The Chinese University of Hong Kong
Geometrically Averaged Hard Target Updates for Linear Q-Learning
Jun 9, 2026Donghwan LeeReinforcement Learning Q-Learning
School of Electrical Engineering, KAIST · Daejeon, Republic of Korea
On-sky demonstration of reinforcement learning for adaptive optics control
Jun 9, 2026Jalo Nousiainen, Vincent Chambouleyron, Benoit Neichel +7RL Control Reinforcement Learning
European Southern Observatory · Aix Marseille University, CNRS, CNES, LAM, Marseille, France · Wakea Consulting, 4 Rue Joseph Bouchayer, 38100 Grenoble +1
Effective Reinforcement Learning for Agentic Search by Recycling Zero-Variance Queries During Training
Jun 9, 2026João Coelho, João Magalhães, Bruno Martins +1Reinforcement Learning Group Relative Policy Optimization
Language Technologies Institute, Carnegie Mellon University, United States · Instituto Superior Técnico and INESC-ID, University of Lisbon, Portugal · NOVA LINCS, NOVA School of Science and Technology, Portugal
Event-Driven Reinforcement Learning Enables Long-Horizon Control in Semiconductor Fabrication
Jun 9, 2026Yavar Yeganeh, Mahsa Shekari, Nicla Frigerio +2RL Control Multi-Objective Reinforcement Learning
Politecnico di Milano · STMicroelectronics
Geometry-Aware Reinforcement Learning for 2D Irregular Nesting
Jun 9, 2026Auguste Lehuger, Guillaume Henon-JustReinforcement Learning Geometric Representation Learning
Valeo Brain
Convergence of Monte Carlo Optimistic Policy Iteration: Beyond Uniform State-Action Updates
Jun 9, 2026Octave Oliviers, Glenn VinnicombeMarkov Decision Processes Reinforcement Learning
Department of Engineering University of Cambridge Cambridge, UK
A Unified Multi-Modal Framework for Intelligent Financial Systems: Integrating Reinforcement Learning, High-Frequency Trading, and Game-Theoretic Approaches with Cross-Modal Sentiment Analysis
Jun 9, 2026Fanrong Liu, Zhang Yuwei, Mingni LuoReinforcement Learning Quantitative Finance
Henan University, International Eurasia College, Kaifeng, Henan, China · City University of Hong Kong, College of Business, Hong Kong, China · Northeastern University, School of Electronic and Information Engineering, Seattle, United States
Claw-R1: A Step-Level Data Middleware System for Agentic Reinforcement Learning
Jun 8, 2026Daoyu Wang, Mingyue Cheng, Qingchuan Li +3Agentic RL Reinforcement Learning
State Key Laboratory of Cognitive Intelligence, University of Science and Technology of China Hefei, China
Momentum for Reasoning: Dense Intrinsic Signals in Policy Optimization
Jun 7, 2026Hao Chen, Zhanming Shen, Liyao Li +8Intrinsic Reward Methods Reinforcement Learning
Zhejiang University · The Chinese University of Hong Kong · Eastern Institute of Technology
Structure-Conditioned Actor-Critic Branches for Quality-Diversity Reinforcement Learning
Jun 7, 2026Lianrong Zuo, Peilan Xu, Yong Liu +1Reinforcement Learning Policy Optimization
Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies, Institute of Cyberspace Security, School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen 518055, Guangdong, China
HARBOR: A Harness Framework for Agentic Robot Reinforcement Learning
Jun 7, 2026Zechu Li, Yufeng Jin, Xiaoyang Liu +4Agentic RL Reinforcement Learning
TU Darmstadt 1 · Hessian.AI 7 · Honda Research Institute Europe 2 +4
Distilling LLM Reasoning into an Interpretable Policy Tree for Human-AI Collaboration
Jun 7, 2026Beiwen Zhang, Yongheng Liang, Guowei Zou +2Reinforcement Learning Interpretability in RL
Sun Yat-sen University
Platooning Connected, Autonomous, and Human-Driven Vehicles: A Deep Reinforcement Learning-based Approach
Jun 7, 2026Zhen Qina, Dong-Fan Xie, Heng Ma +2Reinforcement Learning Intelligent Transportation Systems
aSchool of Systems Science, Beijing Jiaotong University, Beijing 100044, China · bFaculty of Science and Engineering, University of Nottingham Ningbo China
GIFT: LLM-Guided State-Reward Interface for Financial Reinforcement Learning
Jun 7, 2026Yanyan Wu, Boyi Zhang, Yanlin Liu +10Reinforcement Learning Reward Shaping
East China University of Science and Technology · University of Science and Technology of China · Southwestern University of Finance and Economics +5
TT-DAC-PS: Twin-Target Deterministic Actor-Critic with Policy Smoothing for Optimal Trade Execution
Jun 7, 2026Ilia Zaznov, Atta Badii, Julian Kunkel +1Reinforcement Learning Algorithmic Trading
Department of Computer Science University of Reading Reading, UK · Department of Computer Science/GWDG University of Göttingen Goettingen, Germany · ICMA Centre, Henley Business School University of Reading Reading, UK

Jun 11, 2026, cs.ROJ/K move · Enter open · S save

Redesigning Regularization for Effective Policy Smoothing

Taisuke Kobayashi, Naoto Yamanaka

National Institute of Informatics (NII) and with The Graduate University for Advanced Studies (SOKENDAI), 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo, 101-8430, Japan

Reinforcement Learning

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This paper proposes a novel regularization design to effectively smooth policy functions in reinforcement learning. While regularization that enhances global'' Lipschitz continuity was initially considered, it has been limited to local'' Lipschitz continuity due to a tradeoff between smoothness and expressiveness. However, it has become apparent that the original implementation is cumbersome and does not provide sufficient smoothing, leading to a preference for simpler implementations. This stems from a discrepancy between theory and implementation, and a more appropriate implementation can expect to facilitate smoothing. Therefore, this paper identifies three reasons why the original implementation does not function adequately and provide remedies for them. This modified regularization performs well across multiple tasks and algorithms, successfully achieving smooth motion while improving control performance. Furthermore, by applying it to sim-to-real reinforcement learning for a quadruped robot, it is demonstrated that smooth motion provides robustness against sudden changes in target velocity commands.

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