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Sequential Decision Making

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Showing 751–800 of 1210 papers

TitleStatusHype
Improving Zero-shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions—0
Pessimistic Model Selection for Offline Deep Reinforcement Learning—0
Identification of Subgroups With Similar Benefits in Off-Policy Policy Evaluation—0
Neural Column Generation for Capacitated Vehicle Routing—0
Efficient and Optimal Algorithms for Contextual Dueling Bandits under Realizability—0
Adversarial Deep Learning for Online Resource Allocation—0
Deep Reinforcement Learning for Entity Alignment—0
Route Optimization via Environment-Aware Deep Network and Reinforcement Learning—0
AutoGMap: Learning to Map Large-scale Sparse Graphs on Memristive CrossbarsCode0
Automatic Goal Generation using Dynamical Distance Learning—0
SOPE: Spectrum of Off-Policy EstimatorsCode0
Regular Decision Processes for Grid Worlds—0
Partial-Adaptive Submodular Maximization—0
A Law of Iterated Logarithm for Multi-Agent Reinforcement Learning—0
The Value of Information When Deciding What to Learn—0
HSVI for zs-POSGs using Concavity, Convexity and Lipschitz Properties—0
Analysis of Thompson Sampling for Partially Observable Contextual Multi-Armed Bandits—0
ReLAX: Reinforcement Learning Agent eXplainer for Arbitrary Predictive ModelsCode0
Anti-Concentrated Confidence Bonuses for Scalable Exploration—0
Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized RecommendationsCode0
SS-MAIL: Self-Supervised Multi-Agent Imitation Learning—0
Learning Cooperation and Online Planning Through Simulation and Graph Convolutional Network—0
Human-Aware Robot Navigation via Reinforcement Learning with Hindsight Experience Replay and Curriculum Learning—0
When to Call Your Neighbor? Strategic Communication in Cooperative Stochastic Bandits—0
Compositional Q-learning for electrolyte repletion with imbalanced patient sub-populations—0
Gambits: Theory and Evidence—0
Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams—0
Decentralized Cross-Entropy Method for Model-Based Reinforcement Learning—0
Generalizing Successor Features to continuous domains for Multi-task Learning—0
CrowdPlay: Crowdsourcing human demonstration data for offline learning in Atari games—0
Goal Randomization for Playing Text-based Games without a Reward Function—0
PDQN - A Deep Reinforcement Learning Method for Planning with Long Delays: Optimization of Manufacturing Dispatching—0
Neural Bootstrapping Attention for Neural Processes—0
Maximizing Ensemble Diversity in Deep Reinforcement Learning—0
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey—0
Reinforcement Learning for Quantitative Trading—0
The f-Divergence Reinforcement Learning Framework—0
Dimension-Free Rates for Natural Policy Gradient in Multi-Agent Reinforcement Learning—0
On Optimal Robustness to Adversarial Corruption in Online Decision Problems—0
Deep Bayesian Estimation for Dynamic Treatment Regimes with a Long Follow-up Time—0
Accelerating Offline Reinforcement Learning Application in Real-Time Bidding and Recommendation: Potential Use of Simulation—0
Learning-to-defer for sequential medical decision-making under uncertainty—0
Federated Ensemble Model-based Reinforcement Learning in Edge Computing—0
Temporal Shift Reinforcement LearningCode0
Optimal Path Planning of Autonomous Marine Vehicles in Stochastic Dynamic Ocean Flows using a GPU-Accelerated Algorithm—0
No DBA? No regret! Multi-armed bandits for index tuning of analytical and HTAP workloads with provable guarantees—0
Sequential Stochastic Optimization in Separable Learning Environments—0
Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework and Survey—0
Improving Human Sequential Decision-Making with Reinforcement Learning—0
TDM: Trustworthy Decision-Making via Interpretability Enhancement—0
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