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Sequential Decision Making

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TitleStatusHype
Code Models are Zero-shot Precondition Reasoners—0
Bayesian optimization explains human active search—0
Be Considerate: Objectives, Side Effects, and Deciding How to Act—0
Communication and Control Co-Design in 6G: Sequential Decision-Making with LLMs—0
Adaptive Robust Online Portfolio Selection—0
Beta DVBF: Learning State-Space Models for Control from High Dimensional Observations—0
BeTAIL: Behavior Transformer Adversarial Imitation Learning from Human Racing Gameplay—0
Between Rate-Distortion Theory & Value Equivalence in Model-Based Reinforcement Learning—0
Beyond Adaptive Submodularity: Approximation Guarantees of Greedy Policy with Adaptive Submodularity Ratio—0
Beyond O(T) Regret: Decoupling Learning and Decision-making in Online Linear Programming—0
Beyond Stationarity: Convergence Analysis of Stochastic Softmax Policy Gradient Methods—0
Bayesian Graph Traversal—0
Blessing from Human-AI Interaction: Super Reinforcement Learning in Confounded Environments—0
An End-to-End Reinforcement Learning Based Approach for Micro-View Order-Dispatching in Ride-Hailing—0
BOF-UCB: A Bayesian-Optimistic Frequentist Algorithm for Non-Stationary Contextual Bandits—0
Federated Learning with Uncertainty via Distilled Predictive Distributions—0
Bayesian Exploration Networks—0
Bootstrapping Adaptive Human-Machine Interfaces with Offline Reinforcement Learning—0
An Introduction to Quantum Reinforcement Learning (QRL)—0
Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-based Policy Learning—0
Bayesian decision-making under misspecified priors with applications to meta-learning—0
An Online Approach to Solve the Dynamic Vehicle Routing Problem with Stochastic Trip Requests for Paratransit Services—0
Bridging Commonsense Reasoning and Probabilistic Planning via a Probabilistic Action Language—0
A naive aggregation algorithm for improving generalization in a class of learning problems—0
Adaptive Sampling for Discovery—0
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