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Sequential Decision Making

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Showing 901–950 of 1210 papers

TitleStatusHype
Bandits in Matching Markets: Ideas and Proposals for Peer Lending—0
Towards Safe Policy Improvement for Non-Stationary MDPsCode0
What are the Statistical Limits of Offline RL with Linear Function Approximation?—0
Deep Q-Network-based Adaptive Alert Threshold Selection Policy for Payment Fraud Systems in Retail Banking—0
DBA bandits: Self-driving index tuning under ad-hoc, analytical workloads with safety guarantees—0
Learning to Generalize for Sequential Decision MakingCode0
A Generative Machine Learning Approach to Policy Optimization in Pursuit-Evasion Games—0
Mean-Variance Efficient Reinforcement Learning with Applications to Dynamic Financial Investment—0
Is Reinforcement Learning More Difficult Than Bandits? A Near-optimal Algorithm Escaping the Curse of Horizon—0
A Sample-Efficient Algorithm for Episodic Finite-Horizon MDP with Constraints—0
Transfer Learning in Deep Reinforcement Learning: A Survey—0
Causal Bandits without prior knowledge using separating sets—0
Toward the Fundamental Limits of Imitation Learning—0
Optimal Inspection and Maintenance Planning for Deteriorating Structural Components through Dynamic Bayesian Networks and Markov Decision Processes—0
Inverse Policy Evaluation for Value-based Sequential Decision-making—0
Spatial Privacy Pricing: The Interplay between Privacy, Utility and Price in Geo-Marketplaces—0
A Survey of Knowledge-based Sequential Decision Making under Uncertainty—0
Deep Model-Based Reinforcement Learning for High-Dimensional Problems, a Survey—0
A Machine of Few Words -- Interactive Speaker Recognition with Reinforcement Learning—0
Tracking the Race Between Deep Reinforcement Learning and Imitation Learning -- Extended Version—0
Dynamics Generalization via Information Bottleneck in Deep Reinforcement Learning—0
Compare and Select: Video Summarization with Multi-Agent Reinforcement Learning—0
Data-efficient visuomotor policy training using reinforcement learning and generative models—0
AirCapRL: Autonomous Aerial Human Motion Capture using Deep Reinforcement Learning—0
Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Approaches—0
Fast reinforcement learning with generalized policy updates—0
GraphOpt: Learning Optimization Models of Graph Formation—0
Learning "What-if" Explanations for Sequential Decision-Making—0
Convex Regularization in Monte-Carlo Tree Search—0
Falsification-Based Robust Adversarial Reinforcement Learning—0
Model-based Reinforcement Learning: A Survey—0
Enforcing Almost-Sure Reachability in POMDPsCode0
On Bellman's Optimality Principle for zs-POSGs—0
A Unifying Framework for Reinforcement Learning and Planning—0
Circuit Routing Using Monte Carlo Tree Search and Deep Neural Networks—0
Risk-Sensitive Reinforcement Learning: a Martingale Approach to Reward Uncertainty—0
Towards Tractable Optimism in Model-Based Reinforcement Learning—0
Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence FunctionsCode0
Counterfactually Guided Off-policy Transfer in Clinical Settings—0
Learning by Repetition: Stochastic Multi-armed Bandits under Priming Effect—0
Parameterized MDPs and Reinforcement Learning Problems -- A Maximum Entropy Principle Based Framework—0
Mutual Information Based Knowledge Transfer Under State-Action Dimension MismatchCode0
On the Relationship Between Structure in Natural Language and Models of Sequential Decision Processes—0
Recurrent Sum-Product-Max Networks for Decision Making in Perfectly-Observed EnvironmentsCode0
Group-Fair Online Allocation in Continuous Time—0
When is Particle Filtering Efficient for Planning in Partially Observed Linear Dynamical Systems?—0
Modeling Human Driving Behavior through Generative Adversarial Imitation Learning—0
Stealing Deep Reinforcement Learning Models for Fun and Profit—0
Sharp Thresholds of the Information Cascade Fragility Under a Mismatched Model—0
When Does MAML Objective Have Benign Landscape?—0
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