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Sequential Decision Making

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Showing 201–250 of 1210 papers

TitleStatusHype
Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations—0
Bridging Visualization and Optimization: Multimodal Large Language Models on Graph-Structured Combinatorial Optimization—0
Building Intelligent Autonomous Navigation Agents—0
Burning RED: Unlocking Subtask-Driven Reinforcement Learning and Risk-Awareness in Average-Reward Markov Decision Processes—0
Can A User Anticipate What Her Followers Want?—0
Bayesian Exploration Networks—0
Bayesian decision-making under misspecified priors with applications to meta-learning—0
A naive aggregation algorithm for improving generalization in a class of learning problems—0
A Deep Reinforcement Learning Framework for Continuous Intraday Market Bidding—0
Causal Bayesian Optimization—0
Adaptive Sampling for Discovery—0
Causal Markov Decision Processes: Learning Good Interventions Efficiently—0
Application of Deep Reinforcement Learning to Payment Fraud—0
Learning "What-if" Explanations for Sequential Decision-Making—0
Batched Nonparametric Bandits via k-Nearest Neighbor UCB—0
An advantage based policy transfer algorithm for reinforcement learning with measures of transferability—0
A Practical Introduction to Deep Reinforcement Learning—0
Adversarial Attacks on Online Learning to Rank with Click Feedback—0
Batched Neural Bandits—0
Code Models are Zero-shot Precondition Reasoners—0
Collaborative and Federated Black-box Optimization: A Bayesian Optimization Perspective—0
A Reduction-based Framework for Sequential Decision Making with Delayed Feedback—0
Adaptive Frontier Exploration on Graphs with Applications to Network-Based Disease Testing—0
A Computational Framework for Motor Skill Acquisition—0
A Reinforcement Learning Approach for Sequential Spatial Transformer Networks—0
Active Measure Reinforcement Learning for Observation Cost Minimization—0
Communication and Control Co-Design in 6G: Sequential Decision-Making with LLMs—0
Communication-Control Codesign for Large-Scale Wireless Networked Control Systems—0
A Review of Cooperation in Multi-agent Learning—0
Compare and Select: Video Summarization with Multi-Agent Reinforcement Learning—0
Data-Driven Online Model Selection With Regret Guarantees—0
Composite Bayesian Optimization In Function Spaces Using NEON -- Neural Epistemic Operator Networks—0
Computing Preimages of Deep Neural Networks with Applications to Safety—0
A Robust Policy Bootstrapping Algorithm for Multi-objective Reinforcement Learning in Non-stationary Environments—0
Consensus in Motion: A Case of Dynamic Rationality of Sequential Learning in Probability Aggregation—0
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
Data-Driven Upper Confidence Bounds with Near-Optimal Regret for Heavy-Tailed Bandits—0
Bandits with Unobserved Confounders: A Causal Approach—0
A Sequential Decision-Making Model for Perimeter Identification—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
A Short Survey On Memory Based Reinforcement Learning—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
Bandits in Matching Markets: Ideas and Proposals for Peer Lending—0
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