Key papers

• Self-Review Reinforcement Learning (SRRL) with Cross-Episode Memory and Policy Distillation (2026)
  Muhammad Zain Amin et al.
  4.39
• TurnOPD: Making On-Policy Distillation Turn-Aware for Efficient Long-Horizon Agent Training (2026)
  Yuhang Zhou et al.
  4.39
• Information Gain-based Rollout Policy Optimization: An Adaptive Tree-Structured Rollout Approach for Multi-Turn LLM Agents (2026)
  Yijun Zhang et al.
  4.39
• LegalFarePlan: A Label-Setting Framework for Fare-Transparent Urban Rail Route Planning under Non-Additive Fare Rules (2026)
  Tanghui Li
  4.39
• Measure the Sim-to-Real Gap: Designing an Affordable Real-World Benchmark Platform for Reinforcement Learning in AIoT Systems (2026)
  Rongping Zhou et al.
  4.39
• Agentic-DPO: From Imitation to Agentic Policy Optimization on Expert Trajectories (2026)
  Yixiong Chen et al.
  4.39
• Can a Language Model Learn Facts Continually in Its Weights? (2026)
  Charles O'Neill
  4.39
• Continual Learning with Elastic Regularization and Synthetic Replay for Federated MLLM Fine-Tuning (2026)
  Jing Liu et al.
  4.39
• LLM Detection as an Intervention: Downstream Impact under Strategic User Behavior (2026)
  Meena Jagadeesan et al.
  4.39
• Learned Interventions in Lean 4 grind (2026)
  Evan Wang et al.
  4.39
• Towards Robust Reinforcement Learning for Small-Scale Language Model Agents (2026)
  Md Rezwanul Haque et al.
  4.36
• Looped State-Space Language Models with Adaptive Exit-State Selection (2026)
  Zhenxuan Yu et al.
  3.51
• Actor-Critic Learning for Extended Mean Field Control with Deterministic Policies (2026)
  Ziheng Cheng et al.
  3.51
• Time-Lag-Aware Deep Reinforcement Learning for Flexible Job-Shop Scheduling in PPVC Module Factories (2026)
  Ziheng Zhang et al.
  3.51
• Thompson Sampling Is 2-Competitive for Mistakes (2026)
  Mark Sellke et al.
  3.51
• Mind the Gap: Promises and Pitfalls of Hierarchical Planning in LeWorldModel (2026)
  Niccol\`o Caselli et al.
  3.51
• Market Strategy Evaluation for Prosumers in Local Electricity Markets (2026)
  Lukas Peter Wagner et al.
  3.51
• Domain Design for the Cops and Robbers Problem (2026)
  Connor Little et al.
  3.51
• Open-ended innovation in zero-sum games (2026)
  Matteo Marsili
  3.51
• Fitted Occupancy-Ratio Evaluation without Bellman Completeness (2026)
  Lars van der Laan et al.
  2.00
• Contextual Procurement Auctions with Bandit Learning (2026)
  Yiling Chen et al.
  2.00
• RDQ: Residual Distribution Quantization for Large Language Models (2026)
  Prateek Singh
  2.00
• Learning from Local Walks on Dynamic Graphs with Bandit Feedback (2026)
  Sourav Chakraborty et al.
  2.00
• Certified-Gap Dual-Price Policies for Real-Time Truckload Bid Acceptance with Relocating, Clock-Constrained Resources (2026)
  Aswin Chandrasekaran
  2.00
• Neuro-Symbolic Meta-Policies for Temporal Knowledge-Graph Memory under Partial Observability (2026)
  Taewoon Kim et al.
  2.00
• EviBack: Search-Agent Reinforcement Learning via Evidence-Constrained Teacher Backoff (2026)
  Xiao Ma et al.
  2.00
• Simulating Tenant Responses to Energy Policy Interventions with Transaction-Cost-Aware LLM Age (2026)
  Weijie Xia et al.
  2.00
• RoCo-ACE: Rollout-Conditioned Online Distillation for Retention-Aware Knowledge Injection (2026)
  Yan Hong et al.
  2.00
• HOBA: Hierarchical On-Policy Bidding Agents for Adaptive Online Advertising (2026)
  Ji Wu et al.
  2.00
• AdaKP: Online Adaptive Knowledge-Point Selection for Reasoning-Oriented Reinforcement Learning (2026)
  Zibin Meng et al.
  2.00
• LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models (2026)
  Huu Hiep Nguyen et al.
  2.00
• Inverse RL Helps Align AI by Imitating Humans (2026)
  Micha{\l} Wili\'nski et al.
  2.00
• Stable FP4 Training via Transposition-Invariant Block Quantization (2026)
  Mehdi Rahimifar et al.
  2.00
• Amortising Trajectory Optimisation for Residual MPC via Implicit Contact Differentiation (2026)
  Daniel Layeghi et al.
  2.00
• Generative Distributionally Robust Optimization (2026)
  Ziwei Zhang et al.
  2.00
• Calibrated Partial Resets: Preventing Policy Collapse in Continual Reinforcement Learning (2026)
  Luc McCutcheon et al.
  2.00
• Conformal Cascade: Distribution-Free Accuracy Guarantees for Multi-Tier LLM Inference (2026)
  Yifan Dou et al.
  2.00
• Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT (2026)
  Cen Lu et al.
  2.00
• How Often Should a Recommender Call an LLM? Value-Weighted Routing, Monitoring, and Seasonal Robustness (2026)
  Bhavtosh Rath
  2.00
• Endpoint Replay: Compressing the Recency Buffer in Deep Reinforcement Learning (2026)
  Parham Mohammad Panahi et al.
  2.00
• Less Data, Better Alignment: Data-Centric Multi-Evaluator Agreement for Preference Optimization (2026)
  Zhengtao Yao et al.
  2.00
• A Unified Algorithmic Framework for Hybrid Reinforcement Learning in Tabular MDPs with Shifted Transition Dynamics (2026)
  Zheshun Wu et al.
  2.00
• Beyond Single-Episode Optimization: Sliding-Window Aware Generative Auto-Bidding for Long-Term Advertising Effectiveness (2026)
  Binglin Wu et al.
  2.00
• Learning from the Unseen: Offline Reinforcement Learning with Hidden Actions (2026)
  Zeyu Bian et al.
  2.00
• Structure-aware Relative Policy Optimization for Ranking (2026)
  Yiteng Tu et al.
  2.00
• Where Steering Signals Come From: Activation Source Selection in Activation Steering (2026)
  Jiaran Ye et al.
  2.00
• Instruction-Tuned Language Models Cannot Sample from Distributions They Can Describe (2026)
  Chaemin Jang et al.
  2.00
• CAST: Game Solvers as Turn-Level Teachers for LLM Agents (2026)
  Yu Wang et al.
  2.00
• ODYSSE: Episode-wise Policy Optimization for Personalized Agentic Reasoning (2026)
  Jiaqi Zhang et al.
  2.00
• TWICE: Two-Clock, Two-Window Learning for Long-Horizon Conversion Prediction in Online Advertising (2026)
  Kaiyuan Li et al.
  2.00
• Context Assembly as the Controlled Variable: A Control-Theoretic View of Harness Policies for Frozen LLM Agents (2026)
  Debjyoti Paul
  2.00
• SPARC Segmentation to Prediction via Affine Regression and Counterfactuals (2026)
  Shivani et al.
  2.00
• Finding Optimal Cost-Bounded Plan Reductions: Refined Model (2026)
  Martha Del Toro et al.
  2.00
• Mind the Missing Split: Resolving Feature Heterogeneity in Swarm Learning with Random Forests (2026)
  Mohammad Tajabadi et al.
  2.00
• MemSFT: Mitigating Alignment Tax with an External Parametric Memory (2026)
  Jiarui Wang et al.
  2.00
• CoRT: Counterfactual Replay for Token-Level Rubric-Guided Policy Optimization (2026)
  Bo-Wen Zhang et al.
  2.00
• Localized Adaptation Reveals Distinct Learning Signatures in Transformers (2026)
  Rebecca Ramnauth et al.
  2.00
• Optimization with Dynamic Constraint Learning (DCL) (2026)
  Ezgi Oztekin et al.
  2.00
• Speculate While You Reason: Teaching Agents to Predict Their Next Tool Call via Joint Agent-Speculator RL (2026)
  Jiabao Ji et al.
  2.00
• Distributed Constraint Optimization via Online Learning and Iterative Pricing with Application to Large-Scale Satellite Scheduling (2026)
  Itai Zilberstein et al.
  2.00