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Sequential Decision Making

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Showing 851–900 of 1210 papers

TitleStatusHype
Deciding What to Learn: A Rate-Distortion Approach—0
Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective—0
Understanding and Leveraging Causal Relations in Deep Reinforcement Learning—0
Computing Preimages of Deep Neural Networks with Applications to Safety—0
Learning to Make Decisions via Submodular Regularization—0
Learning to Recover from Failures using Memory—0
Divide-and-Conquer Monte Carlo Tree Search—0
Privacy-Constrained Policies via Mutual Information Regularized Policy Gradients—0
A Regret bound for Non-stationary Multi-Armed Bandits with Fairness Constraints—0
Autonomous Charging of Electric Vehicle Fleets to Enhance Renewable Generation Dispatchability—0
Off-Policy Optimization of Portfolio Allocation Policies under ConstraintsCode0
Demystify Painting with RL—0
Learning Mobile Robot Navigation in the Dense Crowd with Deep Reinforcement Learning—0
Hindsight and Sequential Rationality of Correlated PlayCode0
R-learning in actor-critic model offers a biologically relevant mechanism for sequential decision-making—0
Improving Online Rent-or-Buy Algorithms with Sequential Decision Making and ML Predictions—0
Planning with General Objective Functions: Going Beyond Total Rewards—0
Natural Policy Gradient Primal-Dual Method for Constrained Markov Decision Processes—0
On Efficiency in Hierarchical Reinforcement Learning—0
Delay and Cooperation in Nonstochastic Linear Bandits—0
TimeSHAP: Explaining Recurrent Models through Sequence PerturbationsCode1
LAVA: Latent Action Spaces via Variational Auto-encoding for Dialogue Policy Optimization—0
Modality-Buffet for Real-Time Object Detection—0
A New Bandit Setting Balancing Information from State Evolution and Corrupted ContextCode0
Robust Batch Policy Learning in Markov Decision Processes—0
Reliable Off-policy Evaluation for Reinforcement Learning—0
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial—0
Adaptive Stress Testing of Trajectory Predictions in Flight Management SystemsCode1
Loss Bounds for Approximate Influence-Based AbstractionCode0
Reinforcement Learning with Efficient Active Feature Acquisition—0
Multi-IRS-assisted Multi-Cell Uplink MIMO Communications under Imperfect CSI: A Deep Reinforcement Learning Approach—0
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
Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and BaselinesCode1
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
Multi-task Causal Learning with Gaussian ProcessesCode1
A Sample-Efficient Algorithm for Episodic Finite-Horizon MDP with Constraints—0
CertRL: Formalizing Convergence Proofs for Value and Policy Iteration in CoqCode1
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
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