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Sequential Decision Making

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Showing 551–600 of 1210 papers

TitleStatusHype
Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning—0
Is Conditional Generative Modeling all you need for Decision-Making?—0
DDO: Dual-Decision Optimization via Multi-Agent Collaboration for LLM-Based Medical Consultation—0
Is Reinforcement Learning More Difficult Than Bandits? A Near-optimal Algorithm Escaping the Curse of Horizon—0
Integrating Reward Maximization and Population Estimation: Sequential Decision-Making for Internal Revenue Service Audit Selection—0
Data-Driven Online Model Selection With Regret Guarantees—0
Jamming-Resilient Path Planning for Multiple UAVs via Deep Reinforcement Learning—0
JARVIS: A Neuro-Symbolic Commonsense Reasoning Framework for Conversational Embodied Agents—0
Joint AP Probing and Scheduling: A Contextual Bandit Approach—0
Keep Various Trajectories: Promoting Exploration of Ensemble Policies in Continuous Control—0
Knowledge-Based Sequential Decision-Making Under Uncertainty—0
Knowledge Transfer from Teachers to Learners in Growing-Batch Reinforcement Learning—0
Deciding What to Learn: A Rate-Distortion Approach—0
Langevin Thompson Sampling with Logarithmic Communication: Bandits and Reinforcement Learning—0
Language Guided Exploration for RL Agents in Text Environments—0
Integrating Policy Summaries with Reward Decomposition for Explaining Reinforcement Learning Agents—0
Integrated Sensing and Communications for Low-Altitude Economy: A Deep Reinforcement Learning Approach—0
Large Sequence Models for Sequential Decision-Making: A Survey—0
Last-Iterate Global Convergence of Policy Gradients for Constrained Reinforcement Learning—0
Latent-Conditioned Policy Gradient for Multi-Objective Deep Reinforcement Learning—0
Latent Variable Algorithms for Multimodal Learning and Sensor Fusion—0
LAVA: Latent Action Spaces via Variational Auto-encoding for Dialogue Policy Optimization—0
D3HRL: A Distributed Hierarchical Reinforcement Learning Approach Based on Causal Discovery and Spurious Correlation Detection—0
A Survey on Interpretable Reinforcement Learning—0
Learning Universal Policies via Text-Guided Video Generation—0
A Survey on Explainable Deep Reinforcement Learning—0
InfraLib: Enabling Reinforcement Learning and Decision-Making for Large-Scale Infrastructure Management—0
Automaton-Based Representations of Task Knowledge from Generative Language Models—0
Learning-Based UAV Trajectory Optimization with Collision Avoidance and Connectivity Constraints—0
Learning by Repetition: Stochastic Multi-armed Bandits under Priming Effect—0
Learning Cooperation and Online Planning Through Simulation and Graph Convolutional Network—0
Causal Explanations for Sequential Decision Making Under Uncertainty—0
Learning Curricula in Open-Ended Worlds—0
Deep Bayesian Estimation for Dynamic Treatment Regimes with a Long Follow-up Time—0
Learning to Make Decisions via Submodular Regularization—0
Information-Theoretic Safe Bayesian Optimization—0
Actor-Critic Algorithms for Risk-Sensitive MDPs—0
Learning Efficient Representations for Reinforcement Learning—0
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction—0
Learning Fair Policies for Infectious Diseases Mitigation using Path Integral Control—0
Learning to Mix n-Step Returns: Generalizing lambda-Returns for Deep Reinforcement Learning—0
Learning Functionally Decomposed Hierarchies for Continuous Navigation Tasks—0
Learning Markov models via low-rank optimization—0
Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Making by Reinforcement Learning—0
Learning Mobile Robot Navigation in the Dense Crowd with Deep Reinforcement Learning—0
Deep Q-Network-based Adaptive Alert Threshold Selection Policy for Payment Fraud Systems in Retail Banking—0
Information Directed Sampling for Linear Partial Monitoring—0
Automated Cyber Defence: A Review—0
Automated Reinforcement Learning: An Overview—0
Information Avoidance and Overvaluation in Sequential Decision Making under Epistemic Constraints—0
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