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Sequential Decision Making

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Showing 751–800 of 1210 papers

TitleStatusHype
Maximizing Ensemble Diversity in Deep Reinforcement Learning—0
Neural Bootstrapping Attention for Neural Processes—0
PDQN - A Deep Reinforcement Learning Method for Planning with Long Delays: Optimization of Manufacturing Dispatching—0
Goal Randomization for Playing Text-based Games without a Reward Function—0
Decentralized Cross-Entropy Method for Model-Based Reinforcement Learning—0
CrowdPlay: Crowdsourcing human demonstration data for offline learning in Atari games—0
Generalizing Successor Features to continuous domains for Multi-task 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
Joint AP Probing and Scheduling: A Contextual Bandit Approach—0
RLTutor: Reinforcement Learning Based Adaptive Tutoring System by Modeling Virtual Student with Fewer InteractionsCode0
Lyapunov-based uncertainty-aware safe reinforcement learning—0
On Blame Attribution for Accountable Multi-Agent Sequential Decision Making—0
Robust Adaptive Submodular Maximization—0
Reinforcement Learning Agent Training with Goals for Real World Tasks—0
High-Accuracy Model-Based Reinforcement Learning, a Survey—0
Recent Advances in Leveraging Human Guidance for Sequential Decision-Making Tasks—0
Metalearning Linear Bandits by Prior Update—0
Neural Contextual Bandits without RegretCode0
Counterfactual Explanations in Sequential Decision Making Under UncertaintyCode1
Bayesian decision-making under misspecified priors with applications to meta-learning—0
Markov Decision Process modeled with Bandits for Sequential Decision Making in Linear-flow—0
Decision making with dynamic probabilistic forecasts—0
Bounded rationality for relaxing best response and mutual consistency: The Quantal Hierarchy model of decision-makingCode0
UAV-assisted Online Machine Learning over Multi-Tiered Networks: A Hierarchical Nested Personalized Federated Learning Approach—0
Action Set Based Policy Optimization for Safe Power Grid Management—0
A Reinforcement Learning Approach for Sequential Spatial Transformer Networks—0
Building Intelligent Autonomous Navigation Agents—0
IQ-Learn: Inverse soft-Q Learning for ImitationCode1
Not all users are the same: Providing personalized explanations for sequential decision making problems—0
Probabilistic DAG Search—0
Lorenz System State Stability Identification using Neural Networks—0
Robust Reinforcement Learning Under Minimax Regret for Green SecurityCode0
A modular framework for object-based saccadic decisions in dynamic scenes—0
Information Avoidance and Overvaluation in Sequential Decision Making under Epistemic Constraints—0
Cooperative Online Learning with Feedback GraphsCode0
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