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Sequential Decision Making

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Showing 801–850 of 1210 papers

TitleStatusHype
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
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
Bounded rationality for relaxing best response and mutual consistency: The Quantal Hierarchy model of decision-makingCode0
Decision making with dynamic probabilistic forecasts—0
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
Not all users are the same: Providing personalized explanations for sequential decision making problems—0
Lorenz System State Stability Identification using Neural Networks—0
Probabilistic DAG Search—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
Curriculum Design for Teaching via Demonstrations: Theory and ApplicationsCode0
Meta-Learning Reliable Priors in the Function Space—0
Heuristic-Guided Reinforcement Learning—0
Be Considerate: Objectives, Side Effects, and Deciding How to Act—0
Learning to schedule job-shop problems: Representation and policy learning using graph neural network and reinforcement learning—0
Techniques Toward Optimizing Viewability in RTB Ad Campaigns Using Reinforcement Learning—0
Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Making by Reinforcement Learning—0
Robust optimal policies for team Markov games—0
Bandit based centralized matching in two-sided markets for peer to peer lending—0
Data-Efficient Reinforcement Learning for Malaria Control—0
Regret and Cumulative Constraint Violation Analysis for Distributed Online Constrained Convex Optimization—0
Statistical Inference with M-Estimators on Adaptively Collected Data—0
Universal Off-Policy EvaluationCode0
Reinforcement Learning using Guided Observability—0
Discovering an Aid Policy to Minimize Student Evasion Using Offline Reinforcement Learning—0
Visual Comfort Aware-Reinforcement Learning for Depth Adjustment of Stereoscopic 3D Images—0
Jamming-Resilient Path Planning for Multiple UAVs via Deep Reinforcement Learning—0
Ecole: A Library for Learning Inside MILP SolversCode0
Learning-Based UAV Trajectory Optimization with Collision Avoidance and Connectivity Constraints—0
Online Convex Optimization with Continuous Switching Constraint—0
Forward and Backward Bellman equations improve the efficiency of EM algorithm for DEC-POMDP—0
Situated Language Learning via Interactive Narratives—0
Encrypted Linear Contextual Bandit—0
Meta-Learning for Planning: Automatic Synthesis of Sample Based Planners—0
Optimal sequential decision making with probabilistic digital twins—0
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