Multi-Task RL

RL: Reinforcement Learning

Latest papers 55

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  1. End-to-End Safe Social Navigation via Multi-Task Reinforcement Learning and Probabilistic Perception

    Oct 5, 2026Tommaso Van Der Meer, Andrea Garulli, Antonio Giannitrapani +3Robotic RLSafe Robot Navigation

  2. Task Inference Beyond Least Squares in Behavioral Foundation Models

    Oct 4, 2026Kuan-Hsun Tu, Chien-Sheng Chiang, Hsin-Wei Chen +2Reinforcement LearningMulti-Task RL

  3. RISED: RubrIcs for agentic multi-environment Selection and sElf-Distillation

    Oct 1, 2026Jingtan Wang, Sirajul Salekin, Young mok Jung +3Reinforcement LearningRubric-Based RL

  4. Scalable Multi-Task Inverse Reinforcement Learning

    Sep 30, 2026Allen Tran, Jia Wan, Nathan Kallus +1Reinforcement LearningMulti-Task RL

  5. Jaxolotl: A Unified High-Performance Benchmark Suite for LTL-Based Multi-Task RL

    Sep 29, 2026Mathias Jackermeier, Jacques Cloete, Alessandro AbateRL BenchmarksReinforcement Learning

  6. Uncertainty-Gated Exploration Noise Suppresses Task Collapse in Online RL Fine-Tuning of a Flow-Matching Vision-Language-Action Policy

    Sep 23, 2026Mehmet Turan Yardımcı, Yunus Emre ÇoğurcuRobot Policy LearningRL Exploration

  7. UniExo: Unified Multi-Skill Policies for Musculoskeletal Locomotion and Co-Adaptive Exoskeleton Control

    Sep 17, 2026Yifei Yuan, Jakob Wolf, Ghaith Androwis +1Robot Imitation LearningAssistive Robotics

  8. Multitask Reinforcement Learning for Assisting Choice Model Specification

    Sep 16, 2026Gabriel Nova, Stephane Hess, Sander Van CranenburghDiscrete Choice ModelingDeep Sets

  9. Out-of-Distribution Generalisation with Sequence Models in Offline Multi-Agent Reinforcement Learning

    Sep 3, 2026Oussama Hidaoui, Omer Ebead, Ulrich Armel Mbou Sob +14Zero-Shot LearningReinforcement Learning

  10. WiSDoM: Wireless Sparse Decision Transformer with Mixture-of-Experts for Multi-Task Mobile Network Optimization

    Aug 31, 2026Fatih Temiz, Shavbo Salehi, Melike Erol-KantarciSparse Mixture-of-ExpertsDecision Transformer

  11. T3S: Improving Multi-Task Reinforcement Learning with Task-Specific Feature Selector and Scheduler

    Aug 31, 2026Yuanqiang Yu, Tianpei Yang, Yongliang Lv +2Robotic RLMulti-Task RL

  12. Control-Diverse Reinforcement Fine-Tuning: Decoupling the Shared Control Bottleneck of RL Post-Training

    Aug 8, 2026Binwen Tan, Jingchao Wang, Dengzhe Hou +6RL for Language Model ReasoningMulti-Task RL

  13. SFT Conflicts, RL Coexists: A Theoretical and Empirical Analysis of Multi-Task Learning for LLMs

    Aug 4, 2026Kejian Zhu, Zhuoran Jin, Shangqing Tu +5Supervised Fine-TuningGradient Interference

  14. HARGO: Heterogeneity-Aware Reward-Guided Optimization for RL Post-Training of LLMs on HPC Tasks

    Jul 30, 2026Tiangang Li, Xiangbo TianRL for Language ModelsLLM Alignment

  15. SkillRise: Agentic Reinforcement Learning for Cross-Task Skill Evolution

    Jul 29, 2026Zhiyuan Yao, Yuxin Chen, Zhengxi Lu +13Agentic RLCurriculum RL

  16. Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks

    Jul 27, 2026Ricard Marsal I Castan, Aman Arora, Antoine Richard +3Robotic ControlHypernetworks

  17. Group Entropy-Controlled Policy Optimization

    Jul 18, 2026Guangran Cheng, Chengqi Lyu, Songyang Gao +2RL for Language ModelsGroup Relative Policy Optimization

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

    Jul 17, 2026Vincent Taboga, Justin Veilleux, Doseok Jang +2RL BenchmarksReinforcement Learning

  19. A Single Diffusion-Policy Controller for Multi-Task Block Pushing with Zero-Shot Sim-to-Real Transfer

    Jul 12, 2026Haitong Ma, Haldun Balim, Yang Hu +2Sim-to-Real TransferDiffusion Policy

  20. Entropy Pacing Policy Optimization for Multi-Task Agentic Reinforcement Learning

    Jul 8, 2026Zetian Hu, Shunyu Liu, Junjie Zhang +4Agentic RLGroup Relative Policy Optimization

  21. CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning

    Jul 4, 2026Jiayi Guan, Tianle Zhang, Li Shen +8Reinforcement LearningConstrained RL

  22. Building Multi-Task Agentic LLMs via Two-Phase Distillation

    Jun 29, 2026Huaijie Wang, Shusheng Xu, Yi Wu +1Language Model DistillationMulti-Task RL

  23. Memory-Efficient Policy Libraries with Low-Rank Adaptation in Reinforcement Learning

    Jun 24, 2026Samuel Valland Lyngset, Tor Viljen Raanaas, Gard Sveipe +4RL for RoboticsLow-Rank Adaptation

  24. CTS-MoE: Implicit Terrain Adaptation via Mixture-of-Experts for Perceptive Locomotion

    Jun 17, 2026Francisco Affonso, Matheus P. Angarola, Ana Luiza Mineiro +3Robot Policy AdaptationTerrain-Aware Robot Locomotion

  25. Learning to Adapt: Representation-Based Reinforcement Learning for Multi-Task Skill Transfer

    Jun 11, 2026Aryan Naveen, Haitong Ma, Haldun Balim +1RL for RoboticsReinforcement Learning

  26. Uncertainty-Aware LLM-Guided Policy Shaping for Sparse-Reward Reinforcement Learning

    Jun 4, 2026Ujjwal Bhatta, Utsabi Dangol, Sumaly Bajracharya +2Reinforcement LearningLLM-Guided RL