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Sequential Decision Making

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TitleStatusHype
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
Burning RED: Unlocking Subtask-Driven Reinforcement Learning and Risk-Awareness in Average-Reward Markov Decision Processes—0
A Customizable Generator for Comic-Style Visual Narrative—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
A Unified Linear Programming Framework for Offline Reward Learning from Human Demonstrations and Feedback—0
Fairness in Multi-Agent Sequential Decision-Making—0
Goal Randomization for Playing Text-based Games without a Reward Function—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
Optimal Path Planning of Autonomous Marine Vehicles in Stochastic Dynamic Ocean Flows using a GPU-Accelerated Algorithm—0
Fidelity-Induced Interpretable Policy Extraction for Reinforcement Learning—0
GraphOpt: Learning Optimization Models of Graph Formation—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
A Practical Introduction to Deep Reinforcement Learning—0
Active Learning for Accurate Estimation of Linear Models—0
Flow-based Recurrent Belief State Learning for POMDPs—0
Flow-Based Single-Step Completion for Efficient and Expressive Policy Learning—0
Hierarchical Imitation and Reinforcement Learning—0
Forward KL Regularized Preference Optimization for Aligning Diffusion Policies—0
Decision making with dynamic probabilistic forecasts—0
Code Models are Zero-shot Precondition Reasoners—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
AI-based Identification of Most Critical Cyberattacks in Industrial Systems—0
Auction-Based Scheduling—0
Generalization to New Sequential Decision Making Tasks with In-Context Learning—0
Decision-Focused Evaluation: Analyzing Performance of Deployed Restless Multi-Arm Bandits—0
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