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Sequential Decision Making

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Showing 751–800 of 1210 papers

TitleStatusHype
Soft Q-Learning with Mutual-Information Regularization—0
Solving Robust Markov Decision Processes: Generic, Reliable, Efficient—0
Solving Transition-Independent Multi-agent MDPs with Sparse Interactions (Extended version)—0
Spatial Privacy Pricing: The Interplay between Privacy, Utility and Price in Geo-Marketplaces—0
SS-MAIL: Self-Supervised Multi-Agent Imitation Learning—0
Stability-penalty-adaptive follow-the-regularized-leader: Sparsity, game-dependency, and best-of-both-worlds—0
Stagewise Safe Bayesian Optimization with Gaussian Processes—0
State2Explanation: Concept-Based Explanations to Benefit Agent Learning and User Understanding—0
State of the Art of User Simulation approaches for conversational information retrieval—0
State-Separated SARSA: A Practical Sequential Decision-Making Algorithm with Recovering Rewards—0
Exploring Offline Policy Evaluation for the Continuous-Armed Bandit Problem—0
Stealing Deep Reinforcement Learning Models for Fun and Profit—0
STEVE-Audio: Expanding the Goal Conditioning Modalities of Embodied Agents in Minecraft—0
Stochastic Contextual Bandits with Known Reward Functions—0
Stochastic Dynamic Power Dispatch with High Generalization and Few-Shot Adaption via Contextual Meta Graph Reinforcement Learning—0
Stochastic Planning and Lifted Inference—0
Strategising template-guided needle placement for MR-targeted prostate biopsy—0
Streaming Adaptive Submodular Maximization—0
Structure-Adaptive Sequential Testing for Online False Discovery Rate Control—0
Structure and Reduction of MCTS for Explainable-AI—0
Structure Learning in Human Sequential Decision-Making—0
Subgoal-Based Explanations for Unreliable Intelligent Decision Support Systems—0
Subgoal Discovery Using a Free Energy Paradigm and State Aggregations—0
Successfully Guiding Humans with Imperfect Instructions by Highlighting Potential Errors and Suggesting Corrections—0
Supervised Fine-Tuning as Inverse Reinforcement Learning—0
Survey on Fair Reinforcement Learning: Theory and Practice—0
Swarm Behavior Cloning—0
Symbolic Dynamic Programming for Continuous State and Observation POMDPs—0
Synthetically Generating Human-like Data for Sequential Decision Making Tasks via Reward-Shaped Imitation Learning—0
Tableaux for Policy Synthesis for MDPs with PCTL* Constraints—0
TALES: Text Adventure Learning Environment Suite—0
TDM: Trustworthy Decision-Making via Interpretability Enhancement—0
Teacher-student curriculum learning for reinforcement learning—0
Technical Report on Reinforcement Learning Control on the Lucas-Nülle Inverted Pendulum—0
Techniques Toward Optimizing Viewability in RTB Ad Campaigns Using Reinforcement Learning—0
Temporal Elections: Welfare, Strategyproofness, and Proportionality—0
Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement Learning—0
Testing Optimality of Sequential Decision-Making—0
Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Approaches—0
rfPG: Robust Finite-Memory Policy Gradients for Hidden-Model POMDPs—0
TGRL: An Algorithm for Teacher Guided Reinforcement Learning—0
The Bayesian Linear Information Filtering Problem—0
The Choice Function Framework for Online Policy Improvement—0
The Evolving Landscape of LLM- and VLM-Integrated Reinforcement Learning—0
The Extended UCB Policies for Frequentist Multi-armed Bandit Problems—0
The Knowledge Gradient with Logistic Belief Models for Binary Classification—0
The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priors—0
The price of unfairness in linear bandits with biased feedback—0
The Theory is Predictive, but is it Complete? An Application to Human Perception of Randomness—0
The Value of Information When Deciding What to Learn—0
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