Average-Reward RL

RL: Reinforcement Learning

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4 papers in the last four weeks, with none the four weeks before. 0.0% of all new papers.

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  1. Average-Reward Reinforcement Learning for Multichain MDPs: A Hierarchical Decomposition Approach

    Oct 7, 2026Huizhen Yu, Isaiah HeidtMarkov Decision ProcessesAverage-Reward RL

    Department of Computing Science University of Alberta, Canada

  2. Learning Infinite-Horizon Average-Reward CMDPs via State Augmentation

    Sep 30, 2026Kihyun Yu, Seoungbin Bae, Dabeen LeeRegret Minimization in RLMarkov Decision Processes

    KAIST · Seoul National University

  3. Reward-rate Policy Gradient for Efficient Machine Learning Engineering Agents

    Sep 28, 2026Muhang Tian, Sherry YangPolicy GradientAgentic RL

    New York University

  4. A Concentration Bound for Two-Timescale Actor-Critic Algorithm

    Sep 24, 2026Prashansa Panda, Shalabh BhatnagarAverage-Reward RLTwo-Timescale Stochastic Approximation

    Department of Computer Science and Automation IISc Bangalore

  5. Vector Bellman Theory for Multichain Robust Average-Reward Markov Decision Processes

    Sep 23, 2026Yue Wang, George AtiaRobust Markov Decision ProcessesMarkov Decision Processes

    Department of Electrical and Computer Engineering University of Central Florida

  6. Finite Constant Frontiers and Auditable Regret Certificates for Average-Reward Reinforcement Learning

    Aug 7, 2026Ibne Farabi Shihab, Abu Sa-Adat Mohamed Moon-Im Al Ahsan, Md Najmus SwaqeebRegret Minimization in RLMarkov Decision Processes

    Department of Computer Science, Iowa State University · Department of Computer Science & Engineering, BRAC University

  7. Robust Average-Reward Markov Decision Processes: Minimax-Optimal Learning via Plug-in Reductions

    Aug 6, 2026Yuepeng Yang, Yuxin Chen, Yuejie ChiRobust Markov Decision ProcessesAverage-Reward RL

    *Department of Statistics and Data Science, Yale University. · †Department of Statistics and Data Science, the Wharton School, University of Pennsylvania.

  8. Hierarchical Multilevel Monte Carlo for Order-Optimal Neural Actor-Critic in Average-Reward CMDPs

    Jul 30, 2026Ankur Naskar, Vaneet AggarwalAverage-Reward RLConstrained RL

    Indian Institute of Science, India · Purdue University, USA

  9. Bias-Controlled Primal-Dual Natural Actor-Critic: Optimal Rates for Constrained Multi-Objective Average-Reward RL

    Jun 23, 2026Ankur Naskar, Swetha Ganesh, Vaneet AggarwalMulti-Objective Reinforcement LearningReinforcement Learning

    Indian Institute of Science, Bengaluru, India · Purdue University, USA

  10. Maximum Entropy Inverse Reinforcement Learning for Mean-Field Games with Average Reward

    Jun 15, 2026Şevket Kaan Alkır, Naci Saldı, Berkay Anahtarcı +1Reinforcement LearningAverage-Reward RL

    Department of Mathematics Bilkent University 06800 Ankara, Turkey · Department of Mathematical Engineering Özyeğin University 34794 Istanbul, Turkey

  11. Learning Policy from a Single Trajectory in Average-Reward Markov Decision Process

    Jun 15, 2026Jongmin Lee, Ernest K. Ryu, Vaneet AggarwalMarkov Decision ProcessesReinforcement Learning

    Seoul National University · UCLA · Purdue University

  12. Lyapunov-Based Sample Complexity Analysis for Weakly-Coupled MDPs

    Jun 12, 2026Tianhao Wu, Matthew Zurek, Weina Wang +1Multi-Armed BanditsRobust Markov Decision Processes

    Department of Industrial and Systems Engineering, University of Wisconsin-Madison · Department of Computer Sciences, University of Wisconsin-Madison · Computer Science Department, Carnegie Mellon University

  13. Learning Weakly Communicating Average-Reward CMDPs: Strong Duality and Improved Regret

    May 12, 2026Kihyun Yu, Beomhan Baek, Dabeen LeeRegret Minimization in RLMarkov Decision Processes

    1KAIST · 2Seoul National University

  14. Quotient-Categorical Representations for Bellman-Compatible Average-Reward Distributional Reinforcement Learning

    May 11, 2026Ege C. Kaya, Aliasghar Pourghani, Vijay Gupta +1Distributional RLReinforcement Learning

    Elmore Family School of Electrical and Computer Engineering Purdue University West Lafayette, IN 47906

  15. On the Divergence of Differential Temporal Difference Learning without Local Clocks

    May 7, 2026David Antrobius, Shangtong ZhangReinforcement LearningAverage-Reward RL

    Department of Computer Science University of Virginia

  16. A Harmonic Mean Formulation of Average Reward Reinforcement Learning in SMDPs

    May 6, 2026Erel Shtossel, Alicia Vidler, Uri Shaham +1Non-Stationary RLReinforcement Learning

    Bar Ilan University Ramat Gan, Israel

  17. Bridging the Gap Between Average and Discounted TD Learning

    May 3, 2026Haoxing Tian, Zaiwei Chen, Ioannis Ch. Paschalidis +1Reinforcement LearningAverage-Reward RL

    Department of Electrical and Computer Engineering Boston University · Edwardson School of Industrial Engineering Purdue University

  18. Distributionally Robust Markov Games with Average Reward

    Aug 5, 2025Zachary Roch, Yue WangNash EquilibriumMulti-Agent System Optimization

    Department of Electrical and Computer Engineering, University of Central Florida, Orlando, Florida, USA. · Department of Computer Science, University of Central Florida, Orlando, Florida, USA.

  19. Efficient Q-Learning and Actor-Critic Methods for Robust Average-Reward Reinforcement Learning

    Jun 8, 2025Yang Xu, Swetha Ganesh, Vaneet AggarwalRobust Markov Decision ProcessesReinforcement Learning

    Purdue University, West Lafayette, Indiana, USA 47907

  20. Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis

    May 18, 2025Zachary Roch, George Atia, Yue WangReinforcement LearningAverage-Reward RL

    Department of Electrical and Computer Engineering, University of Central Florida, Orlando, Florida, USA. · Department of Computer Science, University of Central Florida, Orlando, Florida, USA.