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Sequential Decision Making

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TitleStatusHype
Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework and Survey—0
Explainable Reinforcement Learning via Temporal Policy Decomposition—0
Exploiting Model Equivalences for Solving Interactive Dynamic Influence Diagrams—0
Multi-IRS-assisted Multi-Cell Uplink MIMO Communications under Imperfect CSI: A Deep Reinforcement Learning Approach—0
Exploiting Relevance for Online Decision-Making in High-Dimensions—0
Exploration-Exploitation in Constrained MDPs—0
Exploration Unbound—0
Exploration via Epistemic Value Estimation—0
Exploring a Physics-Informed Decision Transformer for Distribution System Restoration: Methodology and Performance Analysis—0
Exploring Explainable Multi-player MCTS-minimax Hybrids in Board Game Using Process Mining—0
Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals—0
Fairness and Sequential Decision Making: Limits, Lessons, and Opportunities—0
Fairness in Learning-Based Sequential Decision Algorithms: A Survey—0
Fairness in Multi-Agent Sequential Decision-Making—0
Fairness in Reinforcement Learning with Bisimulation Metrics—0
FAIRO: Fairness-aware Adaptation in Sequential-Decision Making for Human-in-the-Loop Systems—0
Fair Resource Allocation in Weakly Coupled Markov Decision Processes—0
Falsification-Based Robust Adversarial Reinforcement Learning—0
Revisiting Game Representations: The Hidden Costs of Efficiency in Sequential Decision-making Algorithms—0
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments—0
Fast Online Exact Solutions for Deterministic MDPs with Sparse Rewards—0
Fast reinforcement learning with generalized policy updates—0
Fast Value Tracking for Deep Reinforcement Learning—0
Fast Video Classification via Adaptive Cascading of Deep Models—0
Federated Ensemble Model-based Reinforcement Learning in Edge Computing—0
Federated Linear Contextual Bandits with User-level Differential Privacy—0
Federated Multi-Armed Bandits Under Byzantine Attacks—0
Fidelity-Induced Interpretable Policy Extraction for Reinforcement Learning—0
Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search—0
Fine-Grained Session Recommendations in E-commerce using Deep Reinforcement Learning—0
First-Order Regret in Reinforcement Learning with Linear Function Approximation: A Robust Estimation Approach—0
Flow-based Recurrent Belief State Learning for POMDPs—0
Flow-Based Single-Step Completion for Efficient and Expressive Policy Learning—0
Forward and Backward Bellman equations improve the efficiency of EM algorithm for DEC-POMDP—0
Forward KL Regularized Preference Optimization for Aligning Diffusion Policies—0
From Automation to Autonomy in Smart Manufacturing: A Bayesian Optimization Framework for Modeling Multi-Objective Experimentation and Sequential Decision Making—0
From Preference-Based to Multiobjective Sequential Decision-Making—0
Gambits: Theory and Evidence—0
GAS: Generative Auto-bidding with Post-training Search—0
GBOSE: Generalized Bandit Orthogonalized Semiparametric Estimation—0
Generalization Guarantees for Learning Branch-and-Cut Policies in Integer Programming—0
Generalization to New Sequential Decision Making Tasks with In-Context Learning—0
Generalizing Bayesian Optimization with Decision-theoretic Entropies—0
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
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