Robust RL

RL: Reinforcement Learning

Momentum

17 papers in the last four weeks, up 467% on the four weeks before. 0.2% of all new papers.

Jul 13Week of Sep 28

Latest papers 153

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CardsList
  1. Interaction-Breaking Adversarial Learning Framework for Robust Multi-Agent Reinforcement Learning

    May 18, 2026Sunwoo Lee, Mingu Kang, Yonghyeon Jo +1Adversarial TrainingMulti-Agent Coordination

  2. Dynamic Plasma Shape Control with Arbitrary Sensor Subsets

    May 15, 2026D. Sorokin, M. Stokolesov, A. Granovskiy +7RL ControlPartially Observable RL

  3. NavRL++: A System-Level Framework for Improving Sim-to-Real Transfer in Reinforcement Learning-Based Robot Navigation

    May 15, 2026Zhefan Xu, Hanyu Jin, Kenji ShimadaRobot Policy LearningRobot Navigation

  4. Residual Reinforcement Learning for Robot Teleoperation under Stochastic Delays

    May 14, 2026Kaize Deng, Zewen YangRobotic ControlRL Control

  5. Angel or Demon: Investigating the Plasticity Interventions' Impact on Backdoor Threats in Deep Reinforcement Learning

    May 14, 2026Oubo Ma, Ruixiao Lin, Yang Dai +4Reinforcement LearningBackdoor Attacks

  6. Distributionally Robust Multi-Task Reinforcement Learning via Adaptive Task Sampling

    May 14, 2026Nicholas E. Corrado, Wenyuan Huang, Josiah P. HannaDistributionally Robust RLMulti-Task RL

  7. R2R2: Robust Representation for Intensive Experience Reuse via Redundancy Reduction in Self-Predictive Learning

    May 13, 2026Sanghyeob Song, Donghyeok Lee, Jinsik Kim +1Reinforcement LearningSelf-Supervised Learning

  8. ODRPO: Ordinal Decompositions of Discrete Rewards for Robust Policy Optimization

    May 12, 2026Nirmal Patel, Fei Wang, Inderjit S. DhillonRL for Language ModelsReinforcement Learning

  9. Robust Instruction Compliance in Cooperative Multi-Agent Reinforcement Learning

    May 12, 2026Wo Wei Lin, Ethan Rathbun, Enrico Marchesini +1Reinforcement LearningRobust RL

  10. When Simulation Lies: A Sim-to-Real Benchmark and Domain-Randomized RL Recipe for Tool-Use Agents

    May 12, 2026Xiaolin Zhou, Aojie Yuan, Zheng Luo +12Domain RandomizationAI Agent Benchmarks

  11. Robust Probabilistic Shielding for Safe Offline Reinforcement Learning

    May 11, 2026Maris F. L. Galesloot, Thomas Rhemrev, Nils JansenOffline RLSafe RL

  12. MTA-RL: Robust Urban Driving via Multi-modal Transformer-based 3D Affordances and Reinforcement Learning

    May 11, 2026Guangli Chen, Dianzhao Li, Wenjian Zhong +2Camera-LiDAR FusionRL for Autonomous Driving

  13. Zero-Shot Sim-to-Real Robot Learning: A Dexterous Manipulation Study on Reactive Catching

    May 10, 2026Kejia Ren, Gaotian Wang, Andrew S. Morgan +1Domain RandomizationRobot Skill Learning

  14. Plan2Cleanse: Test-Time Backdoor Defense via Monte-Carlo Planning in Deep Reinforcement Learning

    May 10, 2026Sze-Ann Chen, Zhi-Yi Chin, Kui-Yuan Chen +2Backdoor DetectionBackdoor Defense

  15. When (and How) to Trust the Expert: Diagnosing Query-Time Expert-Guided Reinforcement Learning

    May 9, 2026Yann Berthelot, Philippe Preux, Riad AkrourRL ControlRL Benchmarks

  16. Central Limit Theorem for Two-Time-Scale Approximate Distributionally Robust RL

    May 8, 2026Shengbo Wang, Zexi ZhangStochastic ApproximationDistributionally Robust RL

  17. Operator-Guided Invariance Learning for Continuous Reinforcement Learning

    May 7, 2026Zuyuan Zhang, Fei Xu Yu, Tian LanReinforcement LearningContinuous-Time RL

  18. BehaviorGuard: Online Backdoor Defense for Deep Reinforcement Learning

    May 7, 2026Yinbo Yu, Xueyu Yin, Jiadai Wang +4Backdoor AttacksBackdoor Detection

  19. Worst-Case Discovery and Runtime Protection for RL-Based Network Controllers

    May 6, 2026Hongyu Hè, Minhao Jin, Maria ApostolakiRL ControlSafe RL

  20. Taming the Curses of Multiagency in Robust Markov Games with Large State Space through Linear Function Approximation

    May 4, 2026Jingchu Gai, Laixi ShiMulti-Agent System OptimizationMarkov Models

  21. Beyond Specialization: Robust Reinforcement Learning Navigation via Procedural Map Generators

    May 4, 2026Christian Jestel, Nicolas Bach, Marvin Wiedemann +2Robot NavigationRobot Policy Generalization

  22. ANO: Robust Policy Optimization via Bounded, Redescending Gain Fields

    May 4, 2026Yiheng Zhang, Yiming Wang, Kaiyan Zhao +3Policy Gradient MethodsProximal Policy Optimization

  23. Wasserstein Distributionally Robust Regret Optimization for Reinforcement Learning from Human Feedback

    Apr 30, 2026Yikai Wang, Shang Liu, Jose BlanchetRegret Minimization in RLReinforcement Learning

  24. A Distributionally Robust Reinforcement Learning Framework for Constrained Urban EV Dispatch

    Apr 28, 2026An Nguyen, Hoang Nguyen, Phuong Le +3Electric Vehicle ChargingConstrained RL

  25. GIFT: Global stabilisation via Intrinsic Fine Tuning

    Apr 25, 2026Rory Young, Nicolas PugeaultRL ControlReinforcement Learning