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Sequential Decision Making

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TitleStatusHype
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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