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Sequential Decision Making

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Showing 1051–1100 of 1210 papers

TitleStatusHype
Conservative Contextual Bandits: Beyond Linear Representations—0
Constrained Online Decision-Making: A Unified Framework—0
Constrained Reinforcement Learning with Average Reward Objective: Model-Based and Model-Free Algorithms—0
Contextual Bandits for Unbounded Context Distributions—0
Contextual Experience Replay for Self-Improvement of Language Agents—0
Contextual Online Decision Making with Infinite-Dimensional Functional Regression—0
Continual Vision-and-Language Navigation—0
Continuous Episodic Control—0
Convergence and sample complexity of natural policy gradient primal-dual methods for constrained MDPs—0
Convex Markov Games: A New Frontier for Multi-Agent Reinforcement Learning—0
Convex Regularization in Monte-Carlo Tree Search—0
Cooperative Bayesian Optimization for Imperfect Agents—0
CoordiQ : Coordinated Q-learning for Electric Vehicle Charging Recommendation—0
CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation—0
Correlational Dueling Bandits with Application to Clinical Treatment in Large Decision Spaces—0
Counterfactual Inference under Thompson Sampling—0
Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing—0
Counterfactually Guided Off-policy Transfer in Clinical Settings—0
Counterfactual Strategies for Markov Decision Processes—0
CPS-LLM: Large Language Model based Safe Usage Plan Generator for Human-in-the-Loop Human-in-the-Plant Cyber-Physical System—0
CrowdPlay: Crowdsourcing human demonstration data for offline learning in Atari games—0
D3HRL: A Distributed Hierarchical Reinforcement Learning Approach Based on Causal Discovery and Spurious Correlation Detection—0
Data-Driven Online Model Selection With Regret Guarantees—0
Data-Driven Upper Confidence Bounds with Near-Optimal Regret for Heavy-Tailed Bandits—0
Data-Efficient Reinforcement Learning for Malaria Control—0
Data-efficient visuomotor policy training using reinforcement learning and generative models—0
DBA bandits: Self-driving index tuning under ad-hoc, analytical workloads with safety guarantees—0
DDO: Dual-Decision Optimization via Multi-Agent Collaboration for LLM-Based Medical Consultation—0
Decentralized Cross-Entropy Method for Model-Based Reinforcement Learning—0
Decentralized Multi-Agent Reinforcement Learning with Networked Agents: Recent Advances—0
Deceptive Sequential Decision-Making via Regularized Policy Optimization—0
Deciding What to Learn: A Rate-Distortion Approach—0
Deciding What to Model: Value-Equivalent Sampling for Reinforcement Learning—0
Decision-Focused Evaluation: Analyzing Performance of Deployed Restless Multi-Arm Bandits—0
Decision making with dynamic probabilistic forecasts—0
Deep Action Sequence Learning for Causal Shape Transformation—0
Deep Bayesian Estimation for Dynamic Treatment Regimes with a Long Follow-up Time—0
Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games—0
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction—0
Deep Neural Linear Bandits: Overcoming Catastrophic Forgetting through Likelihood Matching—0
Deep Offline Reinforcement Learning for Real-world Treatment Optimization Applications—0
Deep Q-Network-based Adaptive Alert Threshold Selection Policy for Payment Fraud Systems in Retail Banking—0
Deep Reinforcement Learning for Adaptive Mesh Refinement—0
Deep Reinforcement Learning for Entity Alignment—0
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications—0
Deep Reinforcement Learning for Optimal Critical Care Pain Management with Morphine using Dueling Double-Deep Q Networks—0
Deep Reinforcement Learning for Portfolio Optimization using Latent Feature State Space (LFSS) Module—0
Deep Reinforcement Learning for Robust Goal-Based Wealth Management—0
Selective Network Discovery via Deep Reinforcement Learning on Embedded Spaces—0
Deep Reinforcement Learning for Visual Object Tracking in Videos—0
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