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Sequential Decision Making

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Showing 201–250 of 1210 papers

TitleStatusHype
Sliding-Window Thompson Sampling for Non-Stationary Settings—0
A naive aggregation algorithm for improving generalization in a class of learning problems—0
InfraLib: Enabling Reinforcement Learning and Decision-Making for Large-Scale Infrastructure Management—0
A Sequential Decision-Making Model for Perimeter Identification—0
Temporal Elections: Welfare, Strategyproofness, and Proportionality—0
How to Measure Human-AI Prediction Accuracy in Explainable AI Systems—0
Pareto Inverse Reinforcement Learning for Diverse Expert Policy Generation—0
An End-to-End Reinforcement Learning Based Approach for Micro-View Order-Dispatching in Ride-Hailing—0
Contextual Bandits for Unbounded Context Distributions—0
Multi-Agent Reinforcement Learning for Autonomous Driving: A SurveyCode5
Enhancing Heterogeneous Multi-Agent Cooperation in Decentralized MARL via GNN-driven Intrinsic RewardsCode0
Meta Clustering of Neural Bandits—0
Structure and Reduction of MCTS for Explainable-AI—0
Non-maximizing policies that fulfill multi-criterion aspirations in expectation—0
Few-shot Scooping Under Domain Shift via Simulated Maximal Deployment Gaps—0
RELIEF: Reinforcement Learning Empowered Graph Feature Prompt TuningCode1
Reinforcement Learning applied to Insurance Portfolio PursuitCode0
How to Choose a Reinforcement-Learning Algorithm—0
Reinforcement Learning for Sustainable Energy: A Survey—0
Assessing AI Utility: The Random Guesser Test for Sequential Decision-Making Systems—0
Adversarially Robust Decision TransformerCode0
Differentiable Quantum Architecture Search in Asynchronous Quantum Reinforcement Learning—0
Reinforcement Learning Meets Visual OdometryCode3
Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning—0
Scalable Exploration via Ensemble++Code0
Managing Risk using Rolling Forecasts in Energy-Limited and Stochastic Energy Systems—0
Interpretability in Action: Exploratory Analysis of VPT, a Minecraft Agent—0
Exploration Unbound—0
Last-Iterate Global Convergence of Policy Gradients for Constrained Reinforcement Learning—0
Preserving the Privacy of Reward Functions in MDPs through DeceptionCode0
Predicting and Understanding Human Action Decisions: Insights from Large Language Models and Cognitive Instance-Based Learning—0
Long-Term Fairness in Sequential Multi-Agent Selection with Positive ReinforcementCode0
MDP Geometry, Normalization and Reward Balancing Solvers—0
Communication and Control Co-Design in 6G: Sequential Decision-Making with LLMs—0
Maximizing utility in multi-agent environments by anticipating the behavior of other learners—0
Short-Long Policy Evaluation with Novel Actions—0
Exploring a Physics-Informed Decision Transformer for Distribution System Restoration: Methodology and Performance Analysis—0
Tradeoffs When Considering Deep Reinforcement Learning for Contingency Management in Advanced Air Mobility—0
Operator World Models for Reinforcement LearningCode0
Instance Temperature Knowledge DistillationCode0
UNO Arena for Evaluating Sequential Decision-Making Capability of Large Language Models—0
Accelerating Matrix Diagonalization through Decision Transformers with Epsilon-Greedy Optimization—0
Catastrophic-risk-aware reinforcement learning with extreme-value-theory-based policy gradientsCode0
MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High Frequency TradingCode2
Learned Graph Rewriting with Equality Saturation: A New Paradigm in Relational Query Rewrite and Beyond—0
ARDuP: Active Region Video Diffusion for Universal Policies—0
Efficient Sequential Decision Making with Large Language Models—0
Constrained Reinforcement Learning with Average Reward Objective: Model-Based and Model-Free Algorithms—0
Model Adaptation for Time Constrained Embodied Control—0
Data-Driven Upper Confidence Bounds with Near-Optimal Regret for Heavy-Tailed Bandits—0
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