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Sequential Decision Making

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Showing 451–500 of 1210 papers

TitleStatusHype
Fairness in Learning-Based Sequential Decision Algorithms: A Survey—0
Generalizing Reinforcement Learning to Unseen Actions—0
Fairness and Sequential Decision Making: Limits, Lessons, and Opportunities—0
Generative Flow Networks: a Markov Chain Perspective—0
Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals—0
Geometric Multi-Model Fitting by Deep Reinforcement Learning—0
GFCL: A GRU-based Federated Continual Learning Framework against Data Poisoning Attacks in IoV—0
GFlowVLM: Enhancing Multi-step Reasoning in Vision-Language Models with Generative Flow Networks—0
Can A User Anticipate What Her Followers Want?—0
Anti-Concentrated Confidence Bonuses for Scalable Exploration—0
When Does MAML Objective Have Benign Landscape?—0
Global Convergence of Policy Gradient Methods in Reinforcement Learning, Games and Control—0
Burning RED: Unlocking Subtask-Driven Reinforcement Learning and Risk-Awareness in Average-Reward Markov Decision Processes—0
Optimal Path Planning of Autonomous Marine Vehicles in Stochastic Dynamic Ocean Flows using a GPU-Accelerated Algorithm—0
Graph-Dependent Regret Bounds in Multi-Armed Bandits with Interference—0
Graph Neural Networks for Multi-Robot Active Information Acquisition—0
GraphOpt: Learning Optimization Models of Graph Formation—0
Graph Q-Learning for Combinatorial Optimization—0
Exploring Explainable Multi-player MCTS-minimax Hybrids in Board Game Using Process Mining—0
GST: Group-Sparse Training for Accelerating Deep Reinforcement Learning—0
Guaranteed Discovery of Control-Endogenous Latent States with Multi-Step Inverse Models—0
Hands-on Learning to Search for Structured Prediction—0
Exploring a Physics-Informed Decision Transformer for Distribution System Restoration: Methodology and Performance Analysis—0
HD-CB: The First Exploration of Hyperdimensional Computing for Contextual Bandits Problems—0
Building Intelligent Autonomous Navigation Agents—0
Heuristic-Guided Reinforcement Learning—0
Hierarchical Attention Fusion of Visual and Textual Representations for Cross-Domain Sequential Recommendation—0
Hierarchical Constrained Stochastic Shortest Path Planning via Cost Budget Allocation—0
Answer Set Programming for Non-Stationary Markov Decision Processes—0
Hierarchical Reinforcement Learning for Temporal Abstraction of Listwise Recommendation—0
A Deep Reinforcement Learning Approach to Rare Event Estimation—0
Hierarchical Upper Confidence Bounds for Constrained Online Learning—0
Exploration via Epistemic Value Estimation—0
High-Accuracy Model-Based Reinforcement Learning, a Survey—0
High-Confidence Off-Policy (or Counterfactual) Variance Estimation—0
High-Dimensional Prediction for Sequential Decision Making—0
High dimensional stochastic linear contextual bandit with missing covariates—0
Exploration Unbound—0
Bridging Visualization and Optimization: Multimodal Large Language Models on Graph-Structured Combinatorial Optimization—0
Hindsight is Only 50/50: Unsuitability of MDP based Approximate POMDP Solvers for Multi-resolution Information Gathering—0
Exploration-Exploitation in Constrained MDPs—0
History Filtering in Imperfect Information Games: Algorithms and Complexity—0
Exploiting Relevance for Online Decision-Making in High-Dimensions—0
Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations—0
How Should a Robot Assess Risk? Towards an Axiomatic Theory of Risk in Robotics—0
A Note on Sample Complexity of Interactive Imitation Learning with Log Loss—0
How to Choose a Reinforcement-Learning Algorithm—0
How to Measure Human-AI Prediction Accuracy in Explainable AI Systems—0
HSVI can solve zero-sum Partially Observable Stochastic Games—0
Multi-IRS-assisted Multi-Cell Uplink MIMO Communications under Imperfect CSI: A Deep Reinforcement Learning Approach—0
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