Multi-Task RL

RL: Reinforcement Learning

Ask about this topic

Overview

Multi-task reinforcement learning studies how an agent can learn several related objectives together, reusing experience to reduce data needs and transfer skills to new tasks. Common approaches include task-conditioned policies, shared representations and world models, meta-learning, successor features, and transformer or mixture-of-experts policies; curricula and distillation help allocate learning across tasks. Methods are tested in settings such as Meta-World manipulation, multi-agent benchmarks, robotics, network control, and multi-domain language-model training. A central challenge is balancing useful sharing against negative transfer: a model may improve on average while weakening on particular tasks or failing to generalize to unseen ones.

Latest papers

CardsList

87 papers8 papers in the last four weeks, down 27% on the four weeks before. 0.0% of all new papers.

  1. ASTOR: Multi-Task Code Reinforcement Learning via Utility-Driven Coordination

    May 7, 2026Yujia Chen, Yang Ye, Xiao Chu +2RL for Code GenerationReinforcement Learning

    Harbin Institute of Technology, Shenzhen · Huawei Cloud Computing Technologies Co., Ltd.

  2. Improving Zero-Shot Offline RL via Behavioral Task Sampling

    Apr 28, 2026Nazim Bendib, Nicolas Perrin-Gilbert, Olivier SigaudZero-Shot RLOffline RL

    Institut des Systèmes Intelligents et de Robotique, ISIR, Sorbonne Université, Paris, France.

  3. Multi-action Tangled Program Graphs for Multi-task Reinforcement Learning with Continuous Control

    Apr 28, 2026Quentin Vacher, Nicolas Beuve, Mickaël Dardaillon +1RL BenchmarksGenetic Programming

    IETR · Univ Rennes, INSA Rennes, CNRS, IETR – UMR 6164, F-35000 Rennes, France

  4. Task-specific Subnetwork Discovery in Reinforcement Learning for Autonomous Underwater Navigation

    Apr 23, 2026Yi-Ling Liu, Melvin Laux, Mariela De Lucas Alvarez +2Reinforcement LearningUnderwater Robotics

    Robotics Innovation Center, German Research Center for Artificial Intelligence, Bremen, Germany · Robotics Research Group, University of Bremen, Bremen, Germany

  5. RPG: Robust Policy Gating for Smooth Multi-Skill Transitions in Humanoid Fighting

    Apr 23, 2026Yucheng Xin, Jiacheng Bao, Yubo Dong +5Robot Policy LearningHumanoid Robot Control

    Center for Artificial Intelligence and Robotics, Shenzhen International Graduate School, Tsinghua University, China · Shanghai AI Laboratory, Shanghai Jiao Tong University

  6. Reinforcement Learning Enabled Adaptive Multi-Task Control for Bipedal Soccer Robots

    Apr 21, 2026Yulai Zhang, Yinrong Zhang, Ting Wu +1Legged RoboticsHumanoid Robot Control

    School of Future Technology, Shanghai University, Shanghai, China

  7. Contextual Multi-Task Reinforcement Learning for Autonomous Reef Monitoring

    Apr 14, 2026Melvin Laux, Yi-Ling Liu, Rina Alo +4RL ControlUnderwater Robotics

    Robotics Research Group, University of Bremen, Bremen, Germany · Robotics Innovation Center, German Research Center for Artificial Intelligence, Bremen, Germany

  8. Vintix II: Decision Pre-Trained Transformer is a Scalable In-Context Reinforcement Learner

    Apr 6, 2026Andrei Polubarov, Lyubaykin Nikita, Alexander Derevyagin +11In-Context RLTransformer-Based RL

    AXXX, Applied AI Institute · AXXX, Innopolis University · AXXX, HSE +7

  9. Provable Multi-Task Reinforcement Learning: A Representation Learning Framework with Low Rank Rewards

    Apr 4, 2026Yaoze Guo, Shana MoothedathMulti-Task RLRepresentation Learning for RL

    Electrical and Computer Engineering, Iowa State University

  10. Full-Gradient Successor Feature Representations

    Apr 1, 2026Ritish Shrirao, Aditya Priyadarshi, Raghuram Bharadwaj DiddigiReinforcement LearningSuccessor Representations

    Dept. of CSE, IIIT Bangalore · Dept. of DSAI, IIIT Bangalore

  11. Knowledge-Guided Manipulation Using Multi-Task Reinforcement Learning

    Mar 25, 2026Aditya Narendra, Mukhammadrizo Maribjonov, Dmitry Makarov +2Robotic ManipulationMulti-Task Robotic Manipulation

    MIRAI, Moscow, Russia and MBZUAI, Abu Dhabi, UAE · MIRAI, Moscow, Russia and Innopolis University, Russia · MIRAI, Moscow, Russia +1

  12. From Pixels to Digital Agents: An Empirical Study on the Taxonomy and Technological Trends of Reinforcement Learning Environments

    Mar 25, 2026Lijing Luo, Yiben Luo, Alexey Gorbatovski +2RL BenchmarksReinforcement Learning

    Sun Yat-sen University Shenzhen, China · Yancheng Institute of Technology Yancheng, China · Central University Moscow, Russia +1

  13. VisFly-Lab: Unified Differentiable Framework for First-Order Reinforcement Learning of Quadrotor Control

    Mar 22, 2026Fanxing Li, Fangyu Sun, Tianbao Zhang +5Reinforcement LearningQuadrotor Control

  14. Can RL Improve Generalization of LLM Agents? An Empirical Study

    Mar 12, 2026Zhiheng Xi, Xin Guo, Jiaqi Liu +11LLM AgentsRL for LLM Agents

    Fudan University · Shanghai Artificial Intelligence Laboratory · Meituan

  15. STAIRS-Former: Spatio-Temporal Attention with Interleaved Recursive Structure Transformer for Offline Multi-task Multi-agent Reinforcement Learning

    Mar 12, 2026Jiwon Jeon, Myungsik Cho, Youngchul SungOffline MARLTransformer-Based RL

    School of Electrical Engineering Korea Advanced Institute of Science and Technology (KAIST) Daejeon 34141, Republic of Korea

  16. Multi-Task Reinforcement Learning for Enhanced Multimodal LLM-as-a-Judge

    Mar 12, 2026Junjie Wu, Xuan Kan, Zihao He +3Vision-Language Model-as-a-JudgeMultimodal Model Evaluation

    Meta AI · Hong Kong University of Science and Technology · Emory University

  17. Multi-level meta-reinforcement learning with skill-based curriculum

    Mar 9, 2026Sichen Yang, Mauro MaggioniReinforcement LearningHierarchical RL

    Johns Hopkins University · Department of Applied Mathematics & Statistics Johns Hopkins University, 3400 N. Charles Street, Baltimore, MD 21218, USA · Department of Mathematics, Department of Applied Mathematics & Statistics Johns Hopkins University, 3400 N. Charles Street, Baltimore, MD 21218, USA

  18. Meta-RL with Shared Representations Enables Fast Adaptation in Energy Systems

    Mar 9, 2026Théo Zangato, Aomar Osmani, Pegah AlizadehMeta-Reinforcement LearningMulti-Task RL

    Université Sorbonne Paris Nord, France · INSA Rouen, France · Université Lumière Lyon 2, Université Claude Bernard Lyon 1, ERIC, 69007, Lyon, France

  19. Chain-of-Context Learning: Dynamic Constraint Understanding for Multi-Task VRPs

    Mar 2, 2026Shuangchun Gui, Suyu Liu, Xuehe Wang +1RL for Combinatorial OptimizationMulti-Task RL

    School of Computing and Information Systems, Singapore Management University, Singapore · Guangdong Laboratory of AI and Digital Economy, Shenzhen, Guangdong, China · School of Artificial Intelligence, Sun Yat-sen University, Zhuhai, Guangdong, China

  20. Scaling Tasks, Not Samples: Mastering Humanoid Control through Multi-Task Model-Based Reinforcement Learning

    Mar 2, 2026Shaohuai Liu, Weirui Ye, Yilun Du +1Multi-Task RLModel-Based RL

    Texas A&M University · MIT · Harvard University

  21. RLAR: An Agentic Reward System for Multi-task Reinforcement Learning on Large Language Models

    Feb 28, 2026Andrew Zhuoer Feng, Cunxiang Wang, Bosi Wen +4RL for Language ModelsReward Design for RL

    Tsinghua Univeristy · Peking University

  22. Generalizing from References using a Multi-Task Reference and Goal-Driven RL Framework

    Feb 23, 2026Jiashun Wang, M. Eva Mungai, He Li +3Humanoid Robot ControlRobot Policy Generalization

    RAI Institute · Carnegie Mellon University

  23. To Mix or To Merge: Toward Multi-Domain Reinforcement Learning for Large Language Models

    Feb 13, 2026Haoqing Wang, Xiang Long, Ziheng Li +3RL for Language ModelsGradient Interference

    Samsung Research, Beijing, China · Peking University

  24. PlatoLTL: Scaling LTL-Guided Multi-Task RL

    Jan 30, 2026Jacques Cloete, Mathias Jackermeier, Ioannis Havoutis +1RL for RoboticsConstrained RL

    Oxford Robotics Institute University of Oxford Oxford, United Kingdom · Department of Computer Science University of Oxford Oxford, United Kingdom

  25. Metadata-Guided Adaptable Frequency Scaling across Heterogeneous Applications and Devices

    Sep 23, 2025Jinqi Yan, Fang He, Qianlong Sang +5Meta-LearningMulti-Task RL

    School of Computer Science, Wuhan University · School of Computer Science and Artificial Intelligence, Wuhan University of Technology · OPPO Guangdong Mobile Communications Co., Ltd.

  26. Energy-Based Transfer for Reinforcement Learning

    Jun 19, 2025Zeyun Deng, Jasorsi Ghosh, Fiona Xie +4Transfer Learning in RLTransfer Learning

    ♠Purdue University · ♢AWS AI · ♣Carnegie Mellon University

  27. Enabling Energy-Efficient Simultaneous Multi-Task Reinforcement Learning through Spiking Neural Networks with Active Dendrites for Bio-inspired Generalist Agents

    Dec 6, 2024Rachmad Vidya Wicaksana Putra, Avaneesh Devkota, Muhammad ShafiqueReinforcement LearningDeep Q-Learning

    eBRAIN Lab · New York University (NYU) Abu Dhabi