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Sequential Decision Making

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TitleStatusHype
Learning Optimal Solutions via an LSTM-Optimization Framework—0
Learning Planning Abstractions from Language—0
Learning Self-Imitating Diverse Policies—0
Learning to Make Adherence-Aware Advice—0
Learning to Make Decisions via Submodular Regularization—0
Learning to Mix n-Step Returns: Generalizing lambda-Returns for Deep Reinforcement Learning—0
Learning to Recover from Failures using Memory—0
Learning to Repeat: Fine Grained Action Repetition for Deep Reinforcement Learning—0
Learning to schedule job-shop problems: Representation and policy learning using graph neural network and reinforcement learning—0
Learning Universal Policies via Text-Guided Video Generation—0
Learning Utilities from Demonstrations in Markov Decision Processes—0
Legion: Best-First Concolic Testing—0
Leveraging In-Context Learning for Language Model Agents—0
Leveraging Offline Data in Linear Latent Bandits—0
Likelihood Ratio Confidence Sets for Sequential Decision Making—0
LinearAPT: An Adaptive Algorithm for the Fixed-Budget Thresholding Linear Bandit Problem—0
Linear Combinatorial Semi-Bandit with Causally Related Rewards—0
Linear Partial Monitoring for Sequential Decision-Making: Algorithms, Regret Bounds and Applications—0
Linear Stochastic Bandits over a Bit-Constrained Channel—0
Listwise Learning to Rank with Deep Q-Networks—0
LLMs for Relational Reasoning: How Far are We?—0
LLM-Stackelberg Games: Conjectural Reasoning Equilibria and Their Applications to Spearphishing—0
Local Differential Privacy for Sequential Decision Making in a Changing Environment—0
Group Retention when Using Machine Learning in Sequential Decision Making: the Interplay between User Dynamics and Fairness—0
Lorenz System State Stability Identification using Neural Networks—0
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