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Sequential Decision Making

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Showing 626–650 of 1210 papers

TitleStatusHype
Provably Efficient Reinforcement Learning for Adversarial Restless Multi-Armed Bandits with Unknown Transitions and Bandit Feedback—0
Provably Efficient UCB-type Algorithms For Learning Predictive State Representations—0
Provably Learning Nash Policies in Constrained Markov Potential Games—0
Proximal Reinforcement Learning: A New Theory of Sequential Decision Making in Primal-Dual Spaces—0
Pure Exploration under Mediators' Feedback—0
QForce-RL: Quantized FPGA-Optimized Reinforcement Learning Compute Engine—0
Q-LDA: Uncovering Latent Patterns in Text-based Sequential Decision Processes—0
Q-learning with temporal memory to navigate turbulence—0
Quantile Off-Policy Evaluation via Deep Conditional Generative Learning—0
Quantum deep recurrent reinforcement learning—0
Quantum Reinforcement Learning-Based Two-Stage Unit Commitment Framework for Enhanced Power Systems Robustness—0
RAISE: Reinforenced Adaptive Instruction Selection For Large Language Models—0
Real-Time Web Scale Event Summarization Using Sequential Decision Making—0
Reasoning in visual navigation of end-to-end trained agents: a dynamical systems approach—0
Recent Advances in Leveraging Human Guidance for Sequential Decision-Making Tasks—0
Rectifying Reinforcement Learning for Reward Matching—0
Reducing Planning Complexity of General Reinforcement Learning with Non-Markovian Abstractions—0
Regret and Cumulative Constraint Violation Analysis for Distributed Online Constrained Convex Optimization—0
Regret Bounds for Online Portfolio Selection with a Cardinality Constraint—0
Regret-Minimization Algorithms for Multi-Agent Cooperative Learning Systems—0
Regret Minimization via Saddle Point Optimization—0
Regular Decision Processes for Grid Worlds—0
Regularized Conditional Diffusion Model for Multi-Task Preference Alignment—0
Regularized Q-Learning with Linear Function Approximation—0
Reinforced Approximate Exploratory Data Analysis—0
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