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Sequential Decision Making

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Showing 801–850 of 1210 papers

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
MEXGEN: An Effective and Efficient Information Gain Approximation for Information Gathering Path Planning—0
Minimax-optimal trust-aware multi-armed bandits—0
Minimizing Maximum Regret in Commitment Constrained Sequential Decision Making—0
Modality-Buffet for Real-Time Object Detection—0
Model Adaptation for Time Constrained Embodied Control—0
Deep Model-Based Reinforcement Learning for High-Dimensional Problems, a Survey—0
Model-based Meta Reinforcement Learning using Graph Structured Surrogate Models—0
Model-based Multi-agent Reinforcement Learning: Recent Progress and Prospects—0
Model-based Reinforcement Learning: A Survey—0
Model Based Reinforcement Learning for Personalized Heparin Dosing—0
Model-based trajectory stitching for improved behavioural cloning and its applications—0
Model-Free Control of Thermostatically Controlled Loads Connected to a District Heating Network—0
Model-Free Online Learning in Unknown Sequential Decision Making Problems and Games—0
Modeling driver's evasive behavior during safety-critical lane changes:Two-dimensional time-to-collision and deep reinforcement learning—0
Modeling Human Driving Behavior through Generative Adversarial Imitation Learning—0
Temporal Detection of Anomalies via Actor-Critic Based Controlled Sensing—0
Monte Carlo Sampling for Regret Minimization in Extensive Games—0
Monte-Carlo Tree Search for Constrained POMDPs—0
MORAL: A Multimodal Reinforcement Learning Framework for Decision Making in Autonomous Laboratories—0
Movement Penalized Bayesian Optimization with Application to Wind Energy Systems—0
MPC-Inspired Neural Network Policies for Sequential Decision Making—0
Multi-Agent Learning of Numerical Methods for Hyperbolic PDEs with Factored Dec-MDP—0
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms—0
Multi-Agent Reinforcement Learning for Offloading Cellular Communications with Cooperating UAVs—0
Multi-armed Bandits: Competing with Optimal Sequences—0
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