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Sequential Decision Making

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TitleStatusHype
Loss Functions for Multiset Prediction—0
Low-rank finetuning for LLMs: A fairness perspective—0
Lyapunov-based uncertainty-aware safe reinforcement learning—0
Macro-action Multi-time scale Dynamic Programming for Energy Management in Buildings with Phase Change Materials—0
Managing Risk using Rolling Forecasts in Energy-Limited and Stochastic Energy Systems—0
Marginal and Joint Cross-Entropies & Predictives for Online Bayesian Inference, Active Learning, and Active Sampling—0
Market Making without Regret—0
Markov Decision Process modeled with Bandits for Sequential Decision Making in Linear-flow—0
Mathematics of statistical sequential decision-making: concentration, risk-awareness and modelling in stochastic bandits, with applications to bariatric surgery—0
Maximizing Ensemble Diversity in Deep Reinforcement Learning—0
Maximizing utility in multi-agent environments by anticipating the behavior of other learners—0
Maximum Entropy Monte-Carlo Planning—0
MDPFuzz: Testing Models Solving Markov Decision Processes—0
MDP Geometry, Normalization and Reward Balancing Solvers—0
MDPs with a State Sensing Cost—0
Meta Clustering of Neural Bandits—0
Meta-Learning for Multi-objective Reinforcement Learning—0
Meta-Learning for Planning: Automatic Synthesis of Sample Based Planners—0
Meta-Learning Hypothesis Spaces for Sequential Decision-making—0
Metalearning Linear Bandits by Prior Update—0
Meta-Learning Reliable Priors in the Function Space—0
Meta-Learning surrogate models for sequential decision making—0
Adaptive Asynchronous Control Using Meta-learned Neural Ordinary Differential Equations—0
Meta-Prompt Optimization for LLM-Based Sequential Decision Making—0
MetaTrader: An Reinforcement Learning Approach Integrating Diverse Policies for Portfolio Optimization—0
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