Agentic Reinforcement Learning

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13 papers in the last 28 days · 0.3% of indexed attention

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

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Period ending 2026-09-14

2 new papers

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

Period ending 2026-09-07

6 new papers

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

200 papers

Latest in Agentic Reinforcement Learning

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Interactive Memory Learning for Long-Term Conversations
Sep 15, 2026Cai Ke, Jiangyue Yan, Han Zhang +5Agent Memory Agentic Reinforcement Learning
SkillLift: Learning Dense Rubrics from Sparse Oracles for Efficient Skill Evolution
Sep 14, 2026Haoxiang Kang, Ming WenAgentic Reinforcement Learning
Granularity-Adaptive Credit Assignment for Long-Horizon LLM Agent Reinforcement Learning
Sep 14, 2026Taoran Liang, Yang Liu, Shang Luo +9Agentic Reinforcement Learning
LifeMem: Enabling Lifelong Experience Reuse for LLM Agents
Sep 14, 2026Yuli Qiu, Yutong Li, Wei Su +5Agent Memory Large Language Model Agents
COBRA-Skills: Contextual Bandit-Guided Evolution for Agent Skill Optimization
Sep 12, 2026Pingchen Lu, Xiangyi Wang, Xiang Li +6Skill Evolution Agent Skill Ecosystems
Elastic Horizon: Discovering the Effective Interaction Frontier in Agentic Reinforcement Learning
Sep 7, 2026Gangyi Zhang, Junjie Meng, Letian Zhang +6Long-Horizon Agents Agentic Reinforcement Learning
Act More, Decide Less: Skill-Guided Adaptive Action Chunking for Long-Horizon LLM Agents
Sep 2, 2026Yanting Yang, Can Jin, Jinman Zhao +6Action Chunks Agentic Reinforcement Learning
Explore More, Drift Less: Outcome-Only Reinforcement Learning Can Suffice for Long-Horizon Interactive Agents
Sep 1, 2026Liming Pu, Xiaoxia Li, Yifu Liu +2Agentic Reinforcement Learning Long-Horizon
PersuaRL: Reinforcement Learning-Driven Multi-Expert Selection for Persuasive Dialogue Generation in Insurance
Sep 1, 2026Rohan Kirti, Akash Ghosh, Aryan Vats +5Persuasion Dialogue Systems
ARISE-RL: Agentic Rubric-Grounded Iterative Self-Evolution with Reinforcement Learning
Sep 1, 2026Fanrui Zhang, Ruixue Ding, Qiang Zhang +13Agentic Reinforcement Learning Rubric-Based Reinforcement Learning
Reinforcement Learning Enhanced LLM Agents for Complex Vehicle Routing Problems
Sep 1, 2026Yi Chen, Zikang Yu, Jiahai Wang +3Vehicle Routing Problem Agentic Reinforcement Learning
PRACTICE: From Experience to Expertise in Self-Evolving Embodied Agents
Aug 31, 2026Ziyi Bai, Siqi Li, Tinglei Huang +1Self-Improving Agents Agent Skill Libraries
How do World Models and Policies Compose in LLM Agents? A Joint Spectral and Behavioral Account
Aug 30, 2026Ruize Xu, Xiao Yu, Yujin Tang +2Llm-Synthesized Code World Models Agentic Reinforcement Learning
Harness-RL: Black-Box Reinforcement Learning with Action-Args Decoupling for Central-Agent Multi-Agent Harnesses
Aug 30, 2026Xinke Jiang, Zhixin Zhang, Zhibang Yang +6Agentic Reinforcement Learning Agent Harness
AgenticRag-R1: Agentic Reinforcement Learning with Stack Memory for Multi-Step Reasoning, Retrieval and Memorizing
Aug 30, 2026Xinke Jiang, Yue Fang, Zhibang Yang +12Agentic Reinforcement Learning Retrieval-Augmented Generation
ToSCA: Leveraging Hierarchical Reinforcement Learning on Temporal and Strategic Abstractions of Conversational Agents
Aug 22, 2026Xiaoyu Wang, Qingqing Gu, Yue Zhao +5Hierarchical Reinforcement Learning Agentic Reinforcement Learning
RTPO: Reverse-Turn Policy Optimization for Stabilizing Agentic RL Training
Aug 19, 2026Yugu Li, Zehong Cao, Jianglin Qiao +1Agentic Reinforcement Learning Relative Policy Optimization
Evo-Harness: Context-to-Harness Skill Compilation for Self-Evolving Agents
Aug 15, 2026Tianxin Wei, Zhan Shi, Minhua Lin +14Self-Evolving Agents Agent Harness
Intern-S2-Preview: Scientific Agentic Foundation Model
Aug 13, 2026Lei Bai, Jiaqi Cao, Chiyu Chen +122Multimodal Foundation Model Large Language Model Baselines
Latent On-Policy Self-Distillation
Aug 13, 2026Guibin Zhang, Jiayang Lyu, Ran Sun +4Unsupervised On-Policy Self-Distillation Self-Teacher
LoongReflect: Boosting Long-Horizon Reflection in Search Agents via Global Perspective Distillation
Aug 12, 2026Zhixin Zhang, Xinke Jiang, Zhibang Yang +5Long-Horizon Agents Agentic Reinforcement Learning
Better, Faster, Stronger: Programmatic Skill Learning Best Reduces Agent Cost
Aug 11, 2026Zixi Huang, Xiheng Wang, Andrew Wang +4Agentic Reinforcement Learning Agent Skill Libraries
SKILLER: Language-Level Reinforcement Learning for Reusable Skill Extraction in Small Language Models
Aug 11, 2026Chenhao Dang, Siyuan Xiong, Conghui He +1Small Large Language Models Agentic Reinforcement Learning
Efficient Reinforcement Learning for Long-Horizon Tool-Use Agentic Tasks
Aug 11, 2026Zelei Cheng, Amritansh Mishra, Sambit Sahu +1Agentic Reinforcement Learning Long-Horizon Agents
Bidirectional Context Self-Distillation for Reinforcement Learning of Skill-Based LLM Agents
Aug 10, 2026Tianjun Pan, Yuan Li, Hongda Wang +8Unsupervised On-Policy Self-Distillation Agentic Reinforcement Learning
Learning from Environmental Feedback: Credit Assignment across Multiple Timescales for Agentic Reinforcement Learning
Aug 8, 2026Yifu Huo, Shunjie Xing, Chenglong Wang +8Agentic Reinforcement Learning Fine-Grained Credit Assignment
Trajectory-Relative Hindsight Distillation for Agentic Reinforcement Learning
Aug 7, 2026Haoyu Zheng, Yun Zhu, Qing Wang +1Agentic Reinforcement Learning Hindsight
DiDPO: Diff-in-Diff Policy Optimization for Coding Agent Training
Aug 7, 2026Xucong Wang, Zhe Zhao, Liheng Yu +3Verifiable Rewards Agentic Reinforcement Learning
EnvACE: Internalizing Environment Dynamics via World Rehearsal for Agentic Reinforcement Learning
Aug 6, 2026Zishan Xu, Zhiyuan Yao, Yuxin Chen +9Agentic Reinforcement Learning Large Language Model Agents
AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning
Aug 6, 2026Zi-Han Wang, Zhengxi Lu, Zhiyuan Yao +10Agentic Reinforcement Learning Unsupervised On-Policy Self-Distillation
Enhancing Social Intelligence in LLMs with Hierarchical Reasoning and Utterance-Level Goal Rewarding
Aug 6, 2026Xiaofeng Wang, Kakam Chong, Shuai Xiao +9Agentic Reinforcement Learning Negotiation
Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations
Aug 6, 2026He Jiang, Jingtian Yan, Yulun Zhang +5Multi-Agent Path Finding Robotic Planning
Search2Skill: Skill Distillation Beyond Knowledge Boundaries Via Rubric-Based Reinforcement Learning
Aug 5, 2026Muyang Ye, Tian Lan, Feihu Jiang +10Skill Evolution Agent Skill Libraries
Agentic Reinforcement Learning with Observation-Calibrated Self-Distillation
Aug 5, 2026Yi Yang, Cong Qin, Xiaodan Liu +8Unsupervised On-Policy Self-Distillation Token-Level Supervision
Trident : How to Break Deep Reinforcement Learning Cyber Defenses (Agentic)
Aug 5, 2026Ryozo Masukawa, Ian Bryant, Armita Kazeminajafabadi +6Red-Teaming Agentic Reinforcement Learning
Hybrid LLM-Augmented Reinforcement Learning Agents for Complex Sequential Decision Tasks
Aug 4, 2026Christophe D. Hounwanou, John Emeka Eze, Yaé Ulrich GabaAgentic Reinforcement Learning Safe Reinforcement Learning
Agentic Reinforcement Learning with Self-Distilled Reward Shaping
Aug 4, 2026Ranxu Zhang, Guinan Chen, Chenshaodong +5Agentic Reinforcement Learning Teacher
Cross-Domain Hybrid OPD for Generalizable Search Agents
Aug 3, 2026Hongzhan Chen, Xiaoyu Liu, Dengming Zhang +11Search Agents Agentic Reinforcement Learning
PCSD: Persistent Consistency for Self-Distillation in Agentic Reinforcement Learning
Aug 3, 2026Chunji Lv, Yangguang Wei, Junlin Liu +6Unsupervised On-Policy Self-Distillation Token-Level Supervision
Progressive Agent Skill Generation via Reinforcement Learning
Aug 3, 2026Junhao Shen, Zhanqiu Zhang, Yiwen Guo +1Agentic Reinforcement Learning Data Generation Pipelines
PROGRESS: Coverage-guided RL to Train Search-augmented LLM Agent
Aug 2, 2026Sudipta Paul, Vijay Srinivasan, Vivek Kulkarni +4Agentic Reinforcement Learning Search-Augmented Reasoning
SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning
Aug 1, 2026Tao Liu, Tao Feng, Xiangheng Li +9Text-To-Sql Sql
Distilling Knowledge from Large Language Models into Lightweight Reinforcement Learning Agents for Autonomous Cyber Operations
Jul 30, 2026Konur Tholl, François Rivest, Mariam El Mezouar +2Cybersecurity Agentic Reinforcement Learning
Group-Reflective Self-Distillation for Agentic Reinforcement Learning
Jul 30, 2026Binbin Zheng, Zijun Xie, Guanqun Zhao +4Agentic Reinforcement Learning Unsupervised On-Policy Self-Distillation
SKILL-KD: Contrastive Skill Distillation for LLM Agents
Jul 30, 2026Qiming Shi, Yibo Dou, Jiawen Zhu +5Unsupervised Skill Discovery Agent Skill Libraries
SpatialCLI: Learning to Reason With Spatial Tools, Then Without Them
Jul 30, 2026Yang Zhou, Zixuan Huang, Sunzhu Li +10Spatial Reasoning Spatial Question Answering
SkillRise: Agentic Reinforcement Learning for Cross-Task Skill Evolution
Jul 29, 2026Zhiyuan Yao, Yuxin Chen, Zhengxi Lu +13Unsupervised Skill Discovery Agent Skill Libraries
Graph Is the Verifier: Agentic Reinforcement Learning for Interprocedural Vulnerability Detection
Jul 29, 2026Yikun Li, Ting Zhang, Jiakun Liu +9Vulnerability Detection & Repair Vulnerable Code
Rethinking Self-Evolution: A Constrained Exploration-Exploitation Process for Mitigating Skill Overfitting
Jul 29, 2026Hongqiang Lin, Chao Liu, Xiaofan Bai +4Skill Evolution Agent Skill Libraries
Speculate While You Reason: Teaching Agents to Predict Their Next Tool Call via Joint Agent-Speculator RL
Jul 28, 2026Jiabao Ji, Yujian Liu, Li An +4Large Language Model Agents Agentic Reinforcement Learning
Kimi K3: Open Frontier Intelligence
Jul 27, 2026Kimi Team, Tongtong Bai, Yifan Bai +399Qwen3 Mixture-Of-Expert Language Models
From Proprietary to Open-Source: Bridging the Distribution Gap via Multi-Agent Protocol Distillation in Agentic Search
Jul 27, 2026Junlin Liu, Jiangwang Chen, Zixin Song +7Agentic Reinforcement Learning Agentic Search
EviBack: Search-Agent Reinforcement Learning via Evidence-Constrained Teacher Backoff
Jul 27, 2026Xiao Ma, Zhiquan Hu, Yi Wei +5Multi-Hop Question Answering Benchmarks Agentic Reinforcement Learning
Hybrid Advantage Estimation with Unified Critic for VLM Agentic Reinforcement Learning
Jul 26, 2026Wenxuan Zhang, Yuhui Wang, Donggang Jia +5Agentic Reinforcement Learning Option-Critic Framework
Skill Self-Play: Pushing the Frontier of LLM Capability with Co-Evolving Skills
Jul 24, 2026Siyuan Huang, Pengyu Cheng, Haotian Liu +10Skill Evolution Self-Evolution
PATS: Policy-Aware Training Scaffolding for Agentic Reinforcement Learning
Jul 23, 2026Yipeng Shi, Zhipeng Ma, Yue Wang +4Agentic Reinforcement Learning Long Rollouts
EmoAgent-R1: Towards Multimodal Emotion Understanding with Reinforcement Learning-based Dynamic Agent Specialization
Jul 23, 2026Lihuang Fang, Yuchen Zou, kebing Jin +1Agentic Reinforcement Learning Large Multimodal Models
Molt: A Scalable PyTorch-Native Training Framework for Agentic Reinforcement Learning
Jul 22, 2026Jian Hu, Huiying Li, Hao Zhang +8Agentic Reinforcement Learning Pytorch
WAR: Workload-Aware Rollouts for Synchronous Agentic Reinforcement Learning
Jul 19, 2026Ryan Xu, Atlas Zhao, David Bao +1Reinforcement Learning Rollouts Agentic Reinforcement Learning
Reward-Driven LLM Agent Workflows: Synthesizing POMDP Routing and Self-Correction for Autonomous Decision-Making
Jul 19, 2026Amez Amanj Ali, Kuo-Kun TsengAgentic Reinforcement Learning Multi-Agent Large Language Model Systems

Sep 15, 2026 · cs.AIJ/K move · Enter open · S save

Interactive Memory Learning for Long-Term Conversations

Cai Ke, Jiangyue Yan, Han Zhang, Xin Liu+4

Recent advancements in large language models have significantly enhanced the capabilities of agents in modeling long-term conversations. Despite these successes, existing approaches typically adopt a static heuristic paradigm, where information is passively archived without adaptive memory valuation. Consequently, these methods fail to self-evolve or align their memory management with evolving user needs. To address this, we propose ICML (InteraCtive Memory Learning), a multi-agent framework that transforms the memory mechanism from a passive archive into a learnable, interactive memory policy. Specifically, we first employ a session synthesis pipeline to generate expert data, facilitating rapid test-time adaptation in unseen scenarios. Building on this, ICML utilizes an online reinforcement learning mechanism where a Planner agent selectively encodes high-value information and a Trigger agent dynamically retrieves it to optimize response quality, whereby the two agents co-evolve through continuous interaction feedback. Crucially, both agents are synchronized through a delayed reward mechanism that propagates future feedback back to earlier storage decisions, ensuring memory policies are precisely aligned with user expectations. Experimental results demonstrate that ICML significantly outperforms strong baselines, exhibiting the unique capability to continuously improve response quality as interactions accumulate.

Agent Memory Agentic Reinforcement Learning

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