sequential decision-making

94 papers

Explore in graph

Also known as

SDM

Co-occurring keywords

reinforcement learning (4122) sequential decision making (213) regret bound (1918) multi-armed bandit (1091) sequential decision (123) large language model (12755) online learning (1770) causal inference (1619) markov decision process (788) offline reinforcement learning (492)

Papers

Sequential Selling with Sunk Cost Bias AAAI 2026

More than Irrational: Modeling Belief-Biased Agents AAAI 2026

DP-NCB: Privacy Preserving Fair Bandits AAAI 2026

Explanations for Sequential Decision-Making – an Overview AAAI 2026

The Evolving Landscape of LLM- and VLM-Integrated Reinforcement Learning IJCAI 2025

Grounding Open-Domain Knowledge from LLMs to Real-World Reinforcement Learning Tasks: A Survey IJCAI 2025

Sequential Order Adjustment of Action Decisions for Multi-Agent Transformer (Student Abstract) AAAI 2025

Towards Robust, Efficient, and Practical Decision-Making: From Reward-Maximizing Deep Reinforcement Learning to Reward-Matching GFlowNets AAAI 2025

Decoupled Search for the Masses: A Novel Task Transformation for Classical Planning (Extended Abstract) IJCAI 2025

Counterfactual Strategies for Markov Decision Processes IJCAI 2025

Active Reinforcement Learning Strategies for Offline Policy Improvement AAAI 2025

Explain It as Simple as Possible, but No Simpler – Explanation via Model Simplification for Addressing Inferential Gap (Abstract Reprint) IJCAI 2025

Forward KL Regularized Preference Optimization for Aligning Diffusion Policies AAAI 2025

Strategic Manipulation in Temporal Voting with Undesirable Candidates (Student Abstract) AAAI 2025

Contextual Experience Replay for Self-Improvement of Language Agents ACL 2025

Robust Visual Imitation Learning with Inverse Dynamics Representations AAAI 2024

LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation NIPS 2024

Successfully Guiding Humans with Imperfect Instructions by Highlighting Potential Errors and Suggesting Corrections EMNLP 2024

Online Calibrated and Conformal Prediction Improves Bayesian Optimization AISTATS 2024

An Analytical Study of Utility Functions in Multi-Objective Reinforcement Learning NIPS 2024

Speculative Monte-Carlo Tree Search NIPS 2024

Improving Health Information Access in the World’s Largest Maternal Mobile Health Program via Bandit Algorithms AAAI 2024

Autoregressive Bandits AISTATS 2024

Parameterized Projected Bellman Operator AAAI 2024

On the Role of Information Structure in Reinforcement Learning for Partially-Observable Sequential Teams and Games NIPS 2024