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Sequential Decision Making

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TitleStatusHype
Generalizing Off-Policy Evaluation From a Causal Perspective For Sequential Decision-Making—0
Generalizing Reinforcement Learning to Unseen Actions—0
Generalizing Successor Features to continuous domains for Multi-task Learning—0
Generative Flow Networks: a Markov Chain Perspective—0
Generative Flow Networks: Theory and Applications to Structure Learning—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
A Review of Cooperation in Multi-agent Learning—0
Global Bandits—0
When Does MAML Objective Have Benign Landscape?—0
Global Convergence of Policy Gradient Methods in Reinforcement Learning, Games and Control—0
Actual Causality and Responsibility Attribution in Decentralized Partially Observable 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
Group-Fair Online Allocation in Continuous Time—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
Conservative Contextual Bandits: Beyond Linear Representations—0
HD-CB: The First Exploration of Hyperdimensional Computing for Contextual Bandits Problems—0
Constrained Online Decision-Making: A Unified Framework—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
Deciding What to Model: Value-Equivalent Sampling for Reinforcement Learning—0
Hierarchical Reinforcement Learning for Temporal Abstraction of Listwise Recommendation—0
Hierarchical State Abstractions for Decision-Making Problems with Computational Constraints—0
Hierarchical Upper Confidence Bounds for Constrained Online Learning—0
HierLLM: Hierarchical Large Language Model for Question Recommendation—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
Contextual Online Decision Making with Infinite-Dimensional Functional Regression—0
Continual Vision-and-Language Navigation—0
Hindsight is Only 50/50: Unsuitability of MDP based Approximate POMDP Solvers for Multi-resolution Information Gathering—0
Continuous Episodic Control—0
History Filtering in Imperfect Information Games: Algorithms and Complexity—0
Encrypted Linear Contextual Bandit—0
Deciding What to Learn: A Rate-Distortion Approach—0
How Should a Robot Assess Risk? Towards an Axiomatic Theory of Risk in Robotics—0
Convergence and sample complexity of natural policy gradient primal-dual methods for constrained MDPs—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
INTAGS: Interactive Agent-Guided Simulation—0
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