sequential decision making

AVA-VLA: Improving Vision-Language-Action models with Active Visual Attention CVPR 2026 Causal Explanations for Sequential Decision Making (Abstract Reprint) AAAI 2026 Characterizing Online and Private Learnability under Distributional Constraints via Generalized Smoothness COLT 2026 DP-NCB: Privacy Preserving Fair Bandits AAAI 2026 Explanations for Sequential Decision-Making – an Overview AAAI 2026 Flickering Multi-Armed Bandits L4DC 2026 HiconAgent: History Context-aware Policy Optimization for GUI Agents CVPR 2026 Long term sequential decision making under risk UAI 2026 MetaAct-RL: Training Language Models for Reasoning Through Meta-Action-Based Reinforcement Learning AAAI 2026 More than Irrational: Modeling Belief-Biased Agents AAAI 2026 Online Robust Planning Under Model Uncertainty: A Sample-Based Approach AAAI 2026 Optimizing RAG Rerankers with LLM Feedback via Reinforcement Learning ACL 2026 SACO: Sequence-Aware Constrained Optimization Framework for Coupon Distribution in E-commerce AAAI 2026 Sequential Selling with Sunk Cost Bias AAAI 2026 SkillGen: Learning Domain Skills for In-Context Sequential Decision Making AAAI 2026 Test-Time Perturbation Tuning with Delayed Feedback for Vision-Language-Action Models CVPR 2026 TriEx: A Game-based Tri-View Framework for Explaining Internal Reasoning in Multi-Agent LLMs ACL 2026 Active Reinforcement Learning Strategies for Offline Policy Improvement AAAI 2025 A Deployed Online Reinforcement Learning Algorithm in an Oral Health Clinical Trial AAAI 2025 Avoiding Undesired Future with Sequential Decisions IJCAI 2025 Causal Logistic Bandits with Counterfactual Fairness Constraints ICML 2025 Conservative Contextual Bandits: Beyond Linear Representations ICLR 2025 Contextual Experience Replay for Self-Improvement of Language Agents ACL 2025 Corruption-Robust Variance-aware Algorithms for Generalized Linear Bandits under Heavy-tailed Rewards UAI 2025 Counterfactual Strategies for Markov Decision Processes IJCAI 2025