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Sequential Decision Making

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Showing 601–625 of 1210 papers

TitleStatusHype
Patterns, predictions, and actions: A story about machine learning—0
PDQN - A Deep Reinforcement Learning Method for Planning with Long Delays: Optimization of Manufacturing Dispatching—0
Pessimistic Model Selection for Offline Deep Reinforcement Learning—0
Planning with General Objective Functions: Going Beyond Total Rewards—0
Playing against Nature: causal discovery for decision making under uncertainty—0
POLAR: A Pessimistic Model-based Policy Learning Algorithm for Dynamic Treatment Regimes—0
Mean-Variance Efficient Reinforcement Learning with Applications to Dynamic Financial Investment—0
Policy Gradient With Value Function Approximation For Collective Multiagent Planning—0
Policy-labeled Preference Learning: Is Preference Enough for RLHF?—0
Population-based Evaluation in Repeated Rock-Paper-Scissors as a Benchmark for Multiagent Reinforcement Learning—0
Position Paper: Rethinking Privacy in RL for Sequential Decision-making in the Age of LLMs—0
Predicting and Understanding Human Action Decisions: Insights from Large Language Models and Cognitive Instance-Based Learning—0
Predicting Periodicity with Temporal Difference Learning—0
Learning-to-defer for sequential medical decision-making under uncertainty—0
Preference at First Sight—0
Preference Optimization as Probabilistic Inference—0
Reference Points, Risk-Taking Behavior, and Competitive Outcomes in Sequential Settings—0
Privacy-Constrained Policies via Mutual Information Regularized Policy Gradients—0
Probabilistic DAG Search—0
Probability Tools for Sequential Random Projection—0
Proportional Aggregation of Preferences for Sequential Decision Making—0
Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes—0
Provable Reinforcement Learning with a Short-Term Memory—0
PROVABLY BENEFITS OF DEEP HIERARCHICAL RL—0
Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization—0
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