Transformer-Based 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. Reinforcement Learning for Hierarchical Reasoning Rewards: Minimax-Optimal Rates with Transformers

    Oct 6, 2026Naoki Nishikawa, Taiji SuzukiReward ModelingTransformer-Based RL

    The University of Tokyo, RIKEN AIP

  2. Decision Titan: Test-Time Training for Long-Term Memory in Offline Reinforcement Learning

    Oct 1, 2026Jude Waide, Robert LieckReinforcement LearningTransformer-Based RL

    Department of Computer Science, University of Durham, Durham, United Kingdom.

  3. Q-learning Penalized Transformer for Safe Offline Reinforcement Learning

    Sep 28, 2026Shengchao Hu, Peng Wang, Jifeng Hu +5Reinforcement LearningTransformer-Based RL

    Shanghai Jiao Tong University, China · Shenzhen Campus of Sun Yat-sen University, China · Jilin University, China +1

  4. Trust Guided Decision Transformer

    Sep 25, 2026Chainesh Gautam, Raghuram Bharadwaj Diddigi, Chandramouli Kamanchi +3Transformer-Based RLDecision Transformer

    International Institute of Information Technology Bangalore · IBM Research Bangalore

  5. Statistical Convergence of Transformer Encoder-Accelerated Robust Reinforcement Learning

    Sep 20, 2026Suman Banerjee, Hiroyasu TsukamotoReinforcement LearningTransformer-Based RL

    Department of Aerospace Engineering, The Grainger College of Engineering, University of Illinois Urbana-Champaign, Urbana, IL, USA

  6. Learning-Based Collaborative MEC for LLM Inference with Soft-Deadline Awareness via Transformer-Enhanced PPO

    Aug 3, 2026Ngoc Hung Nguyen, Bjorn LandfeldtReinforcement LearningTransformer-Based RL

    Department of Electrical and Information Technology, Lund University, P.O. Box 117, Lund 22100, Sweden

  7. Is One Layer Enough? Training A Single Transformer Layer Can Match Full-Parameter RL Training

    Jul 1, 2026Zijian Zhang, Rizhen Hu, Athanasios Glentis +4RL for Language ModelsFine-Tuning

    University of Minnesota · Peking University · Amazon

  8. Revealing Safety-Critical Scenarios for UTM via Transformer

    Jun 30, 2026Huaze Tang, Bill Zeng, Chao Wang +3Reinforcement LearningIntelligent Transportation Systems

    Tsinghua University · Meituan

  9. Towards Scalable Multi-Task Reinforcement Learning with Large Decision Models

    Jun 23, 2026Thibaut KulakReinforcement LearningTransformer

    NeoInstinct SA

  10. Neuro-Symbolic Injection of LTLf Constraints in Autoregressive Reinforcement Learning Policies

    Jun 6, 2026Ashkan Ansarifard, Matteo Mancanelli, Elena Umili +1Reinforcement LearningTransformer-Based RL

    Sapienza University of Rome · University of Rome La Sapienza, Rome, Italy

  11. Agentic Transformers Provably Learn to Search via Reinforcement Learning

    May 29, 2026Tong Yang, Yu Huang, Yingbin Liang +1Policy GradientAgentic RL

    Department of Electrical and Computer Engineering, Carnegie Mellon University · Department of Statistics and Data Science, Wharton School, University of Pennsylvania · Department of Electrical and Computer Engineering, The Ohio State University +1

  12. ESPO: Early-Stopping Proximal Policy Optimization

    May 28, 2026Zihang Li, Rui Zhou, Yingcheng Shi +8Early StoppingReinforcement Learning

    1Tongyi Lab , Alibaba Group · 2Peking University

  13. Transformer-Enhanced Reinforcement Learning: Fundamentals and Applications in Communication Networks

    May 26, 2026Nguyen Cong Luong, Shaohan Feng, Nguyen Duc Hai +10Reinforcement LearningTransformer-Based RL

    Faculty of Computer Science, Phenikaa University, Hanoi 12116, Vietnam · School of Information and Electronic Engineering (Sussex Artificial Intelligence Institute), Zhejiang Gongshang University, Hangzhou 310018, China · Faculty of Artificial Intelligence and Data Science, Phenikaa University, Duong Noi, Hanoi 12116, Vietnam +4

  14. Heterogeneous AAV Logistics Task Allocation: A Reinforcement Learning Enhanced Overlapping Coalition Formation Game Approach

    May 26, 2026Yuze Zhou, Jingliang Sun, Junzhi Li +3Reinforcement LearningTransformer-Based RL

    Beijing Institute of Technology, Beijing 100081, China · Key Laboratory of Dynamics and Control of Flight Vehicle, Ministry of Education, Beijing 100081, China · Beijing Institute of Technology Chongqing Innovation Center, Chongqing, 401121, China +1

  15. Identifiable Token Correspondence for World Models

    May 15, 2026Youngin Kim, Ray Sun, Inho Kim +2World Model LearningTransformer-Based RL

    Interdisciplinary Program in Artificial Intelligence, Seoul National University · Department of Computer Science and Engineering, Seoul National University · KRAFTON

  16. One for All: A Non-Linear Transformer can Enable Cross-Domain Generalization for In-Context Reinforcement Learning

    May 10, 2026Bowen He, Juncheng Dong, Lin Lin +1Reinforcement LearningTransformer

    Duke University, Durham, U.S.A.

  17. ACSAC: Adaptive Chunk Size Actor-Critic with Causal Transformer Q-Network

    May 10, 2026Qian Chen, Junqiao Zhao, Hongtu Zhou +4Reinforcement LearningTransformer-Based RL

    Tongji University

  18. Beyond Linear Attention: Softmax Transformers Implement In-Context Reinforcement Learning

    May 8, 2026Zixuan Xie, Xinyu Liu, Claire Chen +3Reinforcement LearningTransformer-Based RL

    University of Virginia · California Institute of Technology · Purdue University

  19. Convergence and Emergence of In-Context Reinforcement Learning with Chain of Thought

    May 8, 2026Zixuan Xie, Xinyu Liu, Rohan Chandra +1Reinforcement LearningTransformer

    University of Virginia

  20. Beyond Autoregressive RTG: Conditioning via Injection Outside Sequential Modeling in Decision Transformer

    May 7, 2026Yongyi Wang, Hanyu Liu, Lingfeng Li +6Efficient Transformer InferenceReinforcement Learning

    School of Computer Science Peking University Beijing, China 100871

  21. Transformers Provably Implement In-Context Reinforcement Learning with Policy Improvement

    May 7, 2026Haodong Liang, Lifeng LaiReinforcement LearningTransformer-Based RL

    Department of Electrical and Computer Engineering, University of California, Davis

  22. Higher Embedding Dimension Creates a Stronger World Model for a Simple Sorting Task

    Oct 21, 2025Brady Bhalla, Honglu Fan, Nancy Chen +1Transformer InterpretabilityRepresentation Learning

    California Institute of Technology · Pasadena, CA 91125 · Google DeepMind +3