| Variance-Adaptive Optimal Algorithm for Reinforcement Learning with Multinomial Logit Function Approximation | Reinforcement learning | Wonyoung Kim +3 | May 27, 2026 | — |
| Narrative Flattening: How Post-Training Compresses Thematic, Affective, and Stylistic Variation in LLM Fiction | Reinforcement learning | Zehan Li +4 | May 27, 2026 | — |
| Minimax Optimal Variance-Aware Regret Bounds for Multinomial Logistic MDPs | Reinforcement learning | Pierre Boudart +2 | May 19, 2026 | — |
| DRL-STAF: A Deep Reinforcement Learning Framework for State-Aware Forecasting of Complex Multivariate Hidden Markov Processes | Reinforcement learning | Manrui Jiang +3 | May 14, 2026 | — |
| Variance-aware Reward Modeling with Anchor Guidance | Reinforcement learning | Shuxing Fang +3 | May 12, 2026 | — |
| Taming Extreme Tokens: Covariance-Aware GRPO with Gaussian-Kernel Advantage Reweighting | Reinforcement learning | Cheng Wang +3 | May 12, 2026 | — |
| Primal-Dual Policy Optimization for Linear CMDPs with Adversarial Losses | Reinforcement learning | Kihyun Yu +2 | May 12, 2026 | — |
| Efficient LLM Reasoning via Variational Posterior Guidance with Efficiency Awareness | Reinforcement learning | Zizhao Chen +3 | May 10, 2026 | — |
| RVPO: Risk-Sensitive Alignment via Variance Regularization | Reinforcement learning | Ivan Montero +2 | May 7, 2026 | — |
| Real-Time Evaluation of Autonomous Systems under Adversarial Attacks | Reinforcement learning | Adithya Mohan +3 | May 5, 2026 | — |