Generalization in RL

RL: Reinforcement Learning

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9 papers in the last four weeks, against 2 the four weeks before. 0.1% of all new papers.

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  1. An Informational Curse of Horizon in Goal-Conditioned Policy Learning

    Oct 7, 2026John L. Zhou, Yuxuan Dong, Jonathan C. KaoGoal-Conditioned RLGeneralization in RL

    University of California, Los Angeles

  2. Considering Context: When World Models Need Context Encoders

    Oct 5, 2026Oleg Smirnov, Sofiane Ennadir, John Pertoft +2Reinforcement LearningWorld Model Learning

    King AI Labs, Microsoft Gaming

  3. Reward as Observation: Learning Reward-Based Policies for Rapid Adaptation

    Sep 30, 2026Morgan Byrd, Jacob Blevins, Maks Sorokin +2Robot Policy LearningRobot Policy Adaptation

    Georgia Institute of Technology, Atlanta, GA, 30308, USA · Georgia Tech Research Institute, Atlanta, GA, 30308, USA

  4. Learning Transferable Skills using Goal-Conditioned Bisimulation

    Sep 30, 2026Mohammad Amin Abbasfar, Farbod Azimmohseni, Mohammad Hossein RohbanAgent Skill LearningTrajectory Representation Learning

    Department of Computer Engineering Sharif University of Technology

  5. EVOKE: Eliciting World Knowledge in Agents for Transferable Decision-Making

    Sep 29, 2026Yuhan Guo, Jinming Liu, Liang Xu +8LLM Agent TrainingGeneralization in RL

    Shanghai Jiaotong University · Eastern Institute of Technology, Ningbo · Zhongguancun Academy, Beijing, China +1

  6. Going Beyond State-Reaching: Learning Abstractions for Intrinsically Motivated Option Discovery

    Sep 29, 2026Akhil Bagaria, Anita De Mello Koch, George KonidarisHierarchical RLRL Exploration

    Brown University

  7. Curriculum Learning with GNN-based Reinforcement Learning for Job Shop Scheduling

    Sep 23, 2026Jayakrishnan K. Vasudevan, Jonathan Hoss, Noah KlarmannReinforcement LearningCurriculum RL

    Rosenheim University of Applied Sciences · Dept. of Industrial Engineering Rosenheim University of Applied Sciences Rosenheim, Germany

  8. Deep Reinforcement Learning on Item-Compatibility Graphs for One-Dimensional Bin Packing

    Sep 21, 2026M. Aslı AydınCombinatorial OptimizationRL for Combinatorial Optimization

    Department of Management Engineering, Bahçeşehir University, Istanbul, Türkiye

  9. The Free Inference Dimension: Complexity Measure for Zero-Collision Navigation under Hypothesis Mixtures

    Sep 15, 2026Luiz Carlos Castro Guedes, Edward Hermann HaeuslerReinforcement LearningMeta-Reinforcement Learning

    Departamento de Informática – PUC-Rio, Brazil · Seção de Engenharia de Computação – Instituto Militar de Engenharia, Brazil

  10. Adaptive Chemotherapy Control under Tumor Heterogeneity via Reinforcement Learning

    Sep 14, 2026Bereket Sitotaw Kidane, Md Samiul Haque Motayed, Shuo WangRL ControlReinforcement Learning

    Department of Mechanical and Aerospace Engineering, University of Texas at Arlington, Arlington, TX 76019, USA

  11. Efficient Exploration Is Enough

    Sep 7, 2026Mikel Malagón, Jon Vadillo, Josu Ceberio +2Intrinsic Reward MethodsRL Exploration

    University of the Basque Country (UPV/EHU) · University of Alberta · Alberta Machine Intelligence Institute +2

  12. Uncertainty-Driven Replay Memory for Reinforcement Learning

    Aug 30, 2026Sheeraja Rajakrishnan, Alexander G. Ororbia, Travis Desell +1Reinforcement LearningGeneralization in RL

    Rochester Institute of Technology

  13. Learning Generalizable Behaviors for Terminal Agents

    Aug 23, 2026Yihang Yao, Bo Pang, Xuan Phi Nguyen +3Terminal AgentsGeneralization in RL

    Salesforce AI Research · Carnegie Mellon University

  14. Convex-Hull-Neighborhood Smooth Dual Generalization: Controlling Local Correction Propagation in Offline RL

    Aug 4, 2026Yi Yang, Zhennan Chen, Mingfeng Lv +3OOD GeneralizationOffline RL

    1Xiamen University · 2Nanjing University · 3Zhejiang Gongshang University

  15. Cooperative Multi-UAV Navigation in Complex Environments via Systematic Multi-Agent Deep Reinforcement Learning

    Jul 28, 2026Yu Su, Nabil AoufLearning from DemonstrationCurriculum Learning

    School of Science and Technology, City St George’s University of London, London, United Kingdom

  16. Continual-RL for Generalization in Autonomous Racing on the RoboRacer Platform

    Jul 27, 2026Joel Siegert, Edoardo Ghignone, Michele MagnoBackpropagationContinual Robot Learning

    Center for Project-Based Learning, D-ITET, ETH Zurich

  17. HypEMBER: Hypernetwork-based Ensemble for Robust Policy Learning of Parametrized Dynamical Systems

    Jul 21, 2026Nicolò Botteghi, Gabriele Pascali, Urban Fasel +1RL ControlHypernetworks

    MOX, Department of Mathematics · Politecnico di Milano · Milano, Italy +3

  18. DADiff: Diffusion-Driven Cross-Domain Policy Adaptation for Reinforcement Learning

    Jul 17, 2026Hanyang Chen, Anirudh Satheesh, Longchao Da +1Transfer LearningGeneralization in RL

    Arizona State University · University of Maryland, College Park

  19. Non-vacuous Generalization Bounds for Reinforcement Learning with Verifiable Rewards

    Jul 16, 2026Yuxuan Zhu, Rohan Alur, Daniel KangPAC-Bayesian Generalization BoundsReinforcement Learning with Verifiable Rewards

    UIUC · MIT · Bridgewater AIA Labs

  20. Multi-Modal, Multi-Environment Machine Teaching for Robust Reward Learning

    Jul 9, 2026Ali Larian, Qian Lin, Chang Zong Wu +1Reinforcement LearningHuman-in-the-Loop AI

    Kahlert School of Computing, University of Utah.

  21. Generalization in offline RL: The structure is more important than the amount of pessimism

    Jul 2, 2026Max Weltevrede, Matthijs T. J. Spaan, Wendelin BöhmerReinforcement LearningOffline RL

    Delft University of Technology, Delft, The Netherlands

  22. Task-Relevant Representation Decoupling for Visual Reinforcement Learning Generalization

    Jul 1, 2026Jinwen Wang, Youfang Lin, Xiaobo Hu +4Representation LearningRepresentation Learning for RL

    Beijing Key Laboratory of Traffic Data Mining and Embodied Intelligence, School of Computer Science & Technology, Beijing Jiaotong University, China · CSSC Intelligent Innovation Research Institute, China and Zhejiang University, China

  23. Do as the Romans Do: Learning Universal Behaviors from Heterogeneous Agents

    Jun 16, 2026Caleb Chang, Davin Win Kyi, Natasha Jaques +1Reinforcement LearningImitation Learning

    University of Washington · NVIDIA

  24. Evolutionary Bilevel Reward Shaping for Generalization in Reinforcement Learning

    Jun 15, 2026Ekasit Usaratniwart, Xilin Gao, Marc Ong +1Reinforcement LearningReward Shaping

    University of Tsukuba, Tsukuba, Japan · RIKEN Center for Advanced Intelligence Project, Tokyo, Japan

  25. Generalization Hacking: Models Can Game Reinforcement Learning by Preventing Behavioral Generalization

    Jun 10, 2026Frank Xiao, Mary PhuongReward HackingRL for Language Models

    California Institute of Technology

  26. Task diversity produces systematic transfer but inhibits continual reinforcement learning

    May 30, 2026Purab Seth, Neil Shah, Ishaan Sinha +4RL BenchmarksReinforcement Learning

    Harvard College · University of Washington · Kempner Institute for the Study of Natural and Artificial Intelligence, Harvard University +1

  27. Certificate-Guided Evaluation of Reinforcement Learning Generalization

    May 30, 2026Vignesh Subramanian, Đorđe Žikelić, Suguman BansalRL BenchmarksReinforcement Learning

    School of Computer Science, Georgia Institute of Technology, Atlanta, GA, USA · School of Computing and Information Systems, Singapore Management University, Singapore

  28. Decoupled Behavioral Cloning for Scalable Inductive Generalization in RL from Specifications

    May 30, 2026Vignesh Subramanian, Subhajit Roy, Suguman BansalReinforcement LearningMeta-Reinforcement Learning

    School of Computer Science, Georgia Institute of Technology, USA · Department of Computer Science and Engineering, Indian Institute of Technology Kanpur, India

  29. Skill Reuse as Compression in Agentic RL

    May 29, 2026Zhikun Xu, Yu Feng, Jacob Dineen +3Agentic RLMinimum Description Length

    Arizona State University · University of Pennsylvania · University of Southern California

  30. Learning to Search and Searching to Learn for Generalization in Planning

    May 25, 2026Michael Aichmüller, Yannik Hesse, Hector GeffnerReinforcement LearningGeneralization in RL

    Department of Machine Learning and Reasoning, RWTH Aachen University, Aachen, Germany.