| 1 | Player-1: Learning to Play from Synthetic Experience | Mingyu Ouyang, Yiran Wang, Siyuan Hu +9 | cs.CV | 2026-10-14 |
| 2 | ActiveEvidence: Decision-Focused Evidence Graphs with Verifiable Acquisition Gaps | Miaobo Hu, Shuhao Hu, Xiaobo Guo +5 | cs.AI | 2026-10-14 |
| 3 | Hindsight-Privileged RLVR: Single-Rollout Token Credit Without Group Sampling | Wei Chen, Yubing Wu, Zhou Xu +9 | cs.LG | 2026-10-14 |
| #4 | MolLean: A Process-Verifiable Language for Chemical Reasoning | Jiatong Li, Yatao Bian | cs.CL | 2026-10-14 |
| #5 | When Does Momentum Help in Reinforcement Learning with Verifiable Rewards? | Kaifei Wang, Zikang Shan, Liwei Wang +2 | cs.LG | 2026-10-14 |
| #6 | What Makes a Social Agent's Interactions Effective? Learning from Verifiable Outcomes in Paired Worlds | Caixin Kang, Ke Wang, Yuchuan Wu +5 | cs.CL | 2026-10-14 |
| #7 | Task-State Governance: A Virtual Machine for Verifiable and Recoverable GUI Agent Execution | Wenkui Yang, Yiming Hao, Kai Zhou +6 | cs.HC | 2026-10-14 |
| #8 | Explorer-Zero: Improving Self-Play for Long-Horizon Tasks with Decomposable Verifiable Rewards | Tianyu Liu, Davide Belli, Bence Major +2 | cs.AI | 2026-10-14 |
| #9 | PhyMetric: Diagnosing Physical Plausibility in Text-to-Video Generation via Scene-Level QA | Siwei Meng, Xuerou Cai, Rui Hu +1 | cs.CV | 2026-10-14 |
| #10 | Function-Space Temporal Self-Distillation for Policy Optimization | Aryan Das, Arnab Bhattacharya, Vinay Kumar Verma | cs.LG | 2026-10-14 |
| #11 | L3M: A Verifiable Harness and Runtime for Self-Extending and Self-Improving Agents | Carson Eisenach, Robert Joseph George, Vincent Quenneville-Belair +2 | cs.AI | 2026-10-14 |
| #12 | LabCompiler: A Framework for Verifiable Human-Machine Laboratory Execution from Imperfect Protocols | Jingyuan Li, Dongzhan Zhou, Minting Pan +10 | cs.AI | 2026-10-14 |
| #13 | Diagnosing and Correcting Reward Hacking in Verifiable Instruction Following | Sangyeon Yoon, Wooseok Seo, Hamish Ivison +5 | cs.LG | 2026-10-14 |
| #14 | SKG: A Law-Induced Engine from Inference to Induction | Jian An, Chaoshi Wu, Jinhui Wu | cs.LG | 2026-10-14 |
| #15 | EvoProbe: Evaluation-Driven Benchmark Evolution for LLM Agents | Qianhong Guo, Wei Xie, Xiaofang Cai +3 | cs.AI | 2026-10-14 |
| #16 | Policy-Verified Self-Training: Learning Agent Compliance from Verifiable Policy Rewards | Min-Young Yu | cs.LG | 2026-10-14 |
| #17 | Tail Competition Explains Scaling in Best-of-N Sampling for Verifiable Problems | Taro Yano, Yoichi Ishibashi, Masafumi Oyamada | cs.CL | 2026-10-14 |
| #18 | Tev: Scaling Long-Horizon Agentic Environments with Dense Progress Rewards | Wenbo Hu, Shraman Pramanick, Krishna Kumar Singh +3 | cs.CL | 2026-10-13 |
| #19 | AesCode: Aesthetic Code Generation with Decoupled Cross-Modal Rewards | Xin Gao, Yifan Yang, Xin Li +13 | cs.AI | 2026-10-13 |
| #20 | Two Clocks: Why Larger Rollout Batches Learn Slower but Fail on Schedule in Reinforcement Learning with Verifiable Rewards | Yuante Li, Junwei Quan, Kai Qiu +2 | cs.LG | 2026-10-13 |
| #21 | The Last Remote Sensing Model Built by Humans? Casting Any Earth Observation Task as Recursive Self-Improvement | Sijie Zhao, Zeqi Zhou, Heli Qi +6 | cs.CV | 2026-10-13 |
| #22 | Game2Real-Bench: Do Toy Games Reveal and Transfer to Real-World Visual Reasoning? | Qingan Liu, Juntong Feng, Yue Zhu +6 | cs.CV | 2026-10-13 |
| #23 | SkillScaffold: Scaffolding Agentic Reinforcement Learning with Policy-Adaptive Skill Credit Assignment and Selective Injection | Wenlin Zhong, Hao Wang, Kun Yuan +6 | cs.LG | 2026-10-13 |
| #24 | Beyond the Verdict: Agentic Code Judging with Verifiable Feedback | Zheye Deng, Sha Li, Changlong Yu +4 | cs.AI | 2026-10-13 |
| #25 | Enabling Token-wise Importance Sampling in Off-Policy RLVR with Proximal KL Regularization | Hao Bai, Jiarui Yao, Tong Zhang | cs.LG | 2026-10-13 |
| #26 | AssetForge: Asset-Augmented Task Synthesis for Business Automation Agents | Xiangrui Liu, Shuo Tang, Siheng Chen | cs.AI | 2026-10-13 |
| #27 | Output Discipline Sets the Floor: A Falsification-Guided, Model-Agnostic Agent Protocol for Auditable Hypothesis-Driven Decision Making | Jing Liu, Yongxing Qi, Ping Yao +1 | cs.AI | 2026-10-13 |
| #28 | Holding Agents Accountable with Verifiable Agent Insurance | Cheng Hua, Taro Tsuchiya, Nicolas Christin +1 | cs.CR | 2026-10-13 |
| #29 | Claim Framing as a Driver of LLM Sycophancy | Jean Seo, Pepa Atanasova, Isabelle Augenstein | cs.CL | 2026-10-13 |
| #30 | Training LLMs for Multi-Agent Collaboration with Verifiable Information Rewards | Keru Chen, Sen Lin, Yingbin Liang +2 | cs.AI | 2026-10-13 |
| #31 | ProtoArena: Can AI Agents Discover and Exploit Real-World Cross-Component Protocol Vulnerabilities? | Fasheng Miao, Zhaoyu Hu, Xiang Li +5 | cs.CR | 2026-10-13 |
| #32 | Checking the Checkers: A Synthesis of Verifier Noise and Robustness in RLVR | Savyasachi Gupta, Aniruddha Srinivas Joshi | cs.LG | 2026-10-13 |
| #33 | BRIDGE: Selective Boundary Repair with Dependency Graph Evidence in Multi-Agent Systems | Encheng Su, Pengze Li, Ziheng Hua +12 | cs.CL | 2026-10-13 |
| #34 | Coupled Harness--Model Evolution for Scientific Equation Discovery | Pengze Li, Jiaquan Zhang, Encheng Su +8 | cs.AI | 2026-10-13 |
| #35 | Explore with Memory, Learn without It: In-Context Exploration and Self-Distillation for LLM Reasoning | Yutong Chen, Zhichao Xu, Rui Liu +1 | cs.LG | 2026-10-13 |
| #36 | Evidence-First Agentic Verification | Reza Sanayei, Razvan-Gabriel Dumitru, Sunjie Hou +7 | cs.AI | 2026-10-13 |
| #37 | DeltaTTG: Training Multi-Turn Agents with a Token-to-Go Progress Meter | Xuyan Ye, Xiyan Fu, Shengda Fan +3 | cs.LG | 2026-10-13 |
| #38 | Open-o3-Video-v2: Seek, Ground, and Reason with Verifiable Spatio-Temporal Evidence | Jiahao Meng, Zhongyuan Bao, Yue Tan +7 | cs.CV | 2026-10-13 |
| #39 | Verifier-Harness Co-Evolution for Training-Free Self-Improvement on Open-Ended Tasks | Tianyi Xu, Yaolun Zhang, Yiran Wu +6 | cs.AI | 2026-10-13 |
| #40 | A Sense of Proprioception in Language Models | Jonas Geiping | cs.LG | 2026-10-12 |
| #41 | Reinforcement Learning In Partially Verifiable Environments for Colon Cancer Treatment Planning | Li-Ching Chen, Andrés Franco Valiente, Yuta Ishiyama +7 | cs.LG | 2026-10-12 |
| #42 | StartLux-Decision: AutoThink Decision Models with Reinforcement Learning for Calibrated Deliberative Decisions | Xialie Zhuang, Zunhai Su, Jia Pan +3 | cs.CL | 2026-10-12 |
| #43 | PhysCodeGym: Benchmarking Coding Agents for Physically Verifiable 4D Reconstruction | Shuai Shao, Jinchen He, Cunxin Fan +10 | cs.AI | 2026-10-12 |
| #44 | Glasseek: A Transparent Recipe for Training and Trustworthy Evaluation of DeepSearch Agents | Cong Pang, Jiaqi Su, Chengrui Wu +14 | cs.AI | 2026-10-12 |
| #45 | Davinci-Tool: Scaling Agentic Tool-Use Supervision with Verifiable Executable Environments | Xiaoyang Yuan, Ji Zhao, Xingyu Hu +7 | cs.LG | 2026-10-12 |
| #46 | TPPO: Tracking-Value PPO For Language Model Reasoning | Futing Wang, Chenxi Li, Jianhao Yan +6 | cs.LG | 2026-10-12 |
| #47 | VAttnPO: Visual Attention-Guided Policy Optimization | Lihao Zheng, Zhenwei Shao, Zhou Yu +5 | cs.CV | 2026-10-12 |
| #48 | Double-Rollout Reinforcement Learning with Sampling-based Reward Estimation | Haifeng Qian, David Mosallanezhad, Christian Munley +2 | cs.AI | 2026-10-12 |
| #49 | Spectral-Driven Adaptive-Rank Optimizer for Large Language Model Reinforcement Learning with Verifiable Rewards | Zhipeng Chen, Wayne Xin Zhao, Ji-Rong Wen | cs.CL | 2026-10-12 |
| #50 | CivWorldBench: Evaluating Language World Models in Structured Multi-Agent Sandbox Worlds | Ang Li, Haofei Yu, Zhengwei Tao +7 | cs.CL | 2026-10-12 |