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Sequential Decision Making

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Showing 351–400 of 1210 papers

TitleStatusHype
Bayesian Inverse Transition Learning for Offline Settings—0
Doubly Robust Off-policy Value Evaluation for Reinforcement Learning—0
Doubly Robust Policy Evaluation and Optimization—0
DriveGPT: Scaling Autoregressive Behavior Models for Driving—0
FAIRO: Fairness-aware Adaptation in Sequential-Decision Making for Human-in-the-Loop Systems—0
Bayesian optimization explains human active search—0
Dynamic Bi-Objective Routing of Multiple Vehicles—0
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction—0
Dynamic Decision Making for Graphical Models Applied to Oil Exploration—0
Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games—0
Adaptive Robust Online Portfolio Selection—0
Dynamics Generalization via Information Bottleneck in Deep Reinforcement Learning—0
Beta DVBF: Learning State-Space Models for Control from High Dimensional Observations—0
EARL-BO: Reinforcement Learning for Multi-Step Lookahead, High-Dimensional Bayesian Optimization—0
BeTAIL: Behavior Transformer Adversarial Imitation Learning from Human Racing Gameplay—0
Effective Dimension in Bandit Problems under Censorship—0
AutoGuide: Automated Generation and Selection of Context-Aware Guidelines for Large Language Model Agents—0
Effective Reward Specification in Deep Reinforcement Learning—0
Efficient and Optimal Algorithms for Contextual Dueling Bandits under Realizability—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
Deep Bayesian Estimation for Dynamic Treatment Regimes with a Long Follow-up Time—0
Efficient quantum recurrent reinforcement learning via quantum reservoir computing—0
Efficient Reinforcement Learning with Large Language Model Priors—0
Algorithms for CVaR Optimization in MDPs—0
Efficient Sequential Decision Making with Large Language Models—0
Efficient Strategy Synthesis for MDPs via Hierarchical Block Decomposition—0
Blessing from Human-AI Interaction: Super Reinforcement Learning in Confounded Environments—0
A Law of Iterated Logarithm for Multi-Agent Reinforcement Learning—0
Embodied Scene Understanding for Vision Language Models via MetaVQA—0
Emergent Risk Awareness in Rational Agents under Resource Constraints—0
Causal Explanations for Sequential Decision Making Under Uncertainty—0
Deep Action Sequence Learning for Causal Shape Transformation—0
Boltzmann Exploration Done Right—0
Enhancing Q-Learning with Large Language Model Heuristics—0
Boosting Reinforcement Learning and Planning with Demonstrations: A Survey—0
Entropy Regularization for Population Estimation—0
Bootstrapping Adaptive Human-Machine Interfaces with Offline Reinforcement Learning—0
An Introduction to Quantum Reinforcement Learning (QRL)—0
Estimating Link Flows in Road Networks with Synthetic Trajectory Data Generation: Reinforcement Learning-based Approaches—0
A Customizable Generator for Comic-Style Visual Narrative—0
Evaluating Dynamic Conditional Quantile Treatment Effects with Applications in Ridesharing—0
A Unified Linear Programming Framework for Offline Reward Learning from Human Demonstrations and Feedback—0
Evaluating Explanation Methods for Vision-and-Language Navigation—0
Experimental analysis of data-driven control for a building heating system—0
Experimentation Platforms Meet Reinforcement Learning: Bayesian Sequential Decision-Making for Continuous Monitoring—0
Bridging Commonsense Reasoning and Probabilistic Planning via a Probabilistic Action Language—0
Explainable Reinforcement Learning Agents Using World Models—0
Fairness in Learning-Based Sequential Decision Algorithms: A Survey—0
Fairness in Multi-Agent Sequential Decision-Making—0
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