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Sequential Decision Making

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Showing 226–250 of 1210 papers

TitleStatusHype
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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