Joint Reinforcement Learning

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3 papers in the last 28 days · 0.0% of indexed attention

Twelve weeks of publication activity for this topic as it is defined today.

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Deep Reinforcement LearningDeepmind Control Suite

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Period ending 2026-09-21

3 new papers

A weekly snapshot of new work published in Joint Reinforcement Learning.

Period ending 2026-09-14

1 new paper

A weekly snapshot of new work published in Joint Reinforcement Learning.

28 papers

Latest in Joint Reinforcement Learning

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  1. Characterizing Replay Retention Under Dynamics Shift in Model-Based Reinforcement Learning

    Sep 16, 2026Everest Yang, Skye Thompson, George D. KonidarisJoint Reinforcement LearningRobot Systems

  2. REVERSAL-BENCH: A Reversibility Axis and Reset Oracle for Measuring the Reset-Free RL Cliff

    Sep 15, 2026Riyaaz Shaik, Chandru VenkataramanJoint Reinforcement LearningOracles

  3. Evaluation Metrics for Safe Reinforcement Learning

    Sep 14, 2026Lindsay Spoor, Aske Plaat, Thomas MoerlandSafety EvaluationJoint Reinforcement Learning

  4. Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning

    Jul 17, 2026Vincent Taboga, Justin Veilleux, Doseok Jang +2Joint Reinforcement LearningHvac Control

  5. When Does Muon Help Agentic Reinforcement Learning?

    Jul 17, 2026Kai Ruan, Jinghao Lin, Zihe Huang +4MuonJoint Reinforcement Learning

  6. OOD-RL-Bench: A Benchmark Framework for Out-of-Distribution Detection in Reinforcement Learning

    Jul 14, 2026Emil Mittag, Richard Dazeley, Peter VamplewOut-Of-Distribution DetectionOut-Of-Distribution

  7. Measure the Sim-to-Real Gap: Designing an Affordable Real-World Benchmark Platform for Reinforcement Learning in AIoT Systems

    Jul 11, 2026Rongping Zhou, Omid Tavallaie, Shuaijun Chen +1Sim-To-Real GapJoint Reinforcement Learning

  8. Principled Analysis of Deep Reinforcement Learning Evaluation and Design Paradigms

    Jul 8, 2026Ezgi KorkmazJoint Reinforcement LearningDeep Reinforcement Learning

  9. RoAd-RL: A Unified Library and Benchmark for Robust Adversarial Reinforcement Learning

    Jun 29, 2026Adithya Mohan, Daniel Kriegl, Torsten SchönJoint Reinforcement LearningAdversarial Training

  10. CRAX: Fast Safe Reinforcement Learning Benchmarking

    Jun 18, 2026Tristan Tomilin, Mourad Boustani, Mickey Beurskens +1Joint Reinforcement LearningConstrained Reinforcement Learning

  11. Beyond the Current Observation: Evaluating Multimodal Large Language Models in Controllable Non-Markov Games

    Jun 17, 2026Shengyuan Ding, Xilin Wei, Xinyu Fang +4Multimodal Foundation ModelJoint Reinforcement Learning

  12. DRIVE: Distributional and Retrieval-Augmented Bidding with Value Evaluation

    Jun 12, 2026Miduo Cui, Haochen Wang, Shangqin Mao +6First-Price AuctionsJoint Reinforcement Learning

  13. QPILOTS: Efficient Test-Time Q-Steering for Flow Policies

    Jun 11, 2026Yifan Ruan, Chenyang Cao, Andreas Burger +7Flow-Based PolicyQ-Learning

  14. Preserving Plasticity in Continual Learning via Dynamical Isometry

    Jun 8, 2026Andries Rosseau, Robert Müller, Ann NowéPlasticityEfficient Continual Learning

  15. Performance Variation in Deep Reinforcement Learning

    Jun 4, 2026Haruto Tanaka, A. Rupam MahmoodJoint Reinforcement LearningDeep Reinforcement Learning

  16. MineXplore: An Open-Source Reinforcement Learning Exploration Benchmark for GNSS-Denied Underground Environment

    Jun 3, 2026Abhishek S, Badrikanath Praharaj, Sreeram MVSocial Robot NavigationJoint Reinforcement Learning

  17. A Unified Benchmark for Dynamic Medical Treatment Reinforcement Learning

    May 31, 2026Yuepeng Wang, Ken Kawano, Yoshihiko Fujisawa +12Joint Reinforcement LearningTreatment

  18. When Does Deep RL Beat Calibrated Baselines? A Benchmark Study on Adaptive Resource Control

    May 26, 2026Guilin Zhang, Chuanyi Sun, Kai Zhao +3Joint Reinforcement LearningRate Scaling

  19. Enhanced Reinforcement Learning-based Process Synthesis via Quantum Computing

    May 20, 2026Austin Braniff, Fengqi You, Yuhe TianQuantum ComputingJoint Reinforcement Learning

  20. Scalable Reinforcement Learning via Adaptive Batch Scaling

    May 20, 2026Jongchan ParkBatch SizeJoint Reinforcement Learning

  21. JAXenstein: Accelerated Benchmarking for First-Person Environments

    May 19, 2026Ruo Yu Tao, George KonidarisJoint Reinforcement LearningReal-World Environments

  22. Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark

    May 19, 2026Yang Fu, Haomin Bao, Rohit Sonker +4Plasma Shape ControlJoint Reinforcement Learning

  23. NeuroMAS: Multi-Agent Systems as Neural Networks with Joint Reinforcement Learning

    May 16, 2026Haoran Lu, Luyang Fang, Wenxuan Zhong +1Multi-Agent SystemsMulti-Agent Large Language Model

  24. RankQ: Offline-to-Online Reinforcement Learning via Self-Supervised Action Ranking

    May 11, 2026Andrew Choi, Wei XuOffline Reinforcement LearningJoint Reinforcement Learning

  25. When Does Non-Uniform Replay Matter in Reinforcement Learning?

    May 11, 2026Michal Korniak, Mikołaj Czarnecki, Yarden As +3Joint Reinforcement LearningImportance Sampling

  26. Two-Bridge: Exclusive Objectives and Extended Horizon StarCraft II Benchmark

    Feb 19, 2026Sourav Panda, Tanmay Ambadkar, Shreyash Kale +2ArenaJoint Reinforcement Learning

  27. KAGE-Bench: Fast Known-Axis Visual Generalization Evaluation for Reinforcement Learning

    Jan 20, 2026Egor Cherepanov, Daniil Zelezetsky, Alexey K. Kovalev +1Joint Reinforcement LearningFailure Mechanism

  28. CoSkill: Joint Reinforcement Learning of Reasoning and Meta-Skill Agents for Hierarchical Skill Evolution

    Date pendingJinyuan Feng, Dongmin Li, Yiqun Chen +4Skill EvolutionReusable Agent Skills