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Sequential Decision Making

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Showing 301–350 of 1210 papers

TitleStatusHype
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
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
Exploration Unbound—0
Interpretability in Action: Exploratory Analysis of VPT, a Minecraft Agent—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
ARDuP: Active Region Video Diffusion for Universal Policies—0
Learned Graph Rewriting with Equality Saturation: A New Paradigm in Relational Query Rewrite and Beyond—0
Model Adaptation for Time Constrained Embodied Control—0
Constrained Reinforcement Learning with Average Reward Objective: Model-Based and Model-Free Algorithms—0
Efficient Sequential Decision Making with Large Language Models—0
Data-Driven Upper Confidence Bounds with Near-Optimal Regret for Heavy-Tailed Bandits—0
Sound Heuristic Search Value Iteration for Undiscounted POMDPs with Reachability ObjectivesCode0
"Give Me an Example Like This": Episodic Active Reinforcement Learning from DemonstrationsCode0
Rectifying Reinforcement Learning for Reward Matching—0
Combining Experimental and Historical Data for Policy EvaluationCode0
Reward Machines for Deep RL in Noisy and Uncertain EnvironmentsCode0
Low-rank finetuning for LLMs: A fairness perspective—0
Leveraging Offline Data in Linear Latent Bandits—0
OPERA: Automatic Offline Policy Evaluation with Re-weighted Aggregates of Multiple Estimators—0
Variational Offline Multi-agent Skill Discovery—0
Inference of Utilities and Time Preference in Sequential Decision-Making—0
Inverse-RLignment: Large Language Model Alignment from Demonstrations through Inverse Reinforcement Learning—0
A finite time analysis of distributed Q-learning—0
Efficiently Training Deep-Learning Parametric Policies using Lagrangian Duality—0
Understanding the Training and Generalization of Pretrained Transformer for Sequential Decision Making—0
Reinforcing Language Agents via Policy Optimization with Action Decomposition—0
On the Brittle Foundations of ReAct Prompting for Agentic Large Language Models—0
FLIPHAT: Joint Differential Privacy for High Dimensional Sparse Linear BanditsCode0
Optimistic Query Routing in Clustering-based Approximate Maximum Inner Product SearchCode0
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