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Sequential Decision Making

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Showing 451–475 of 1210 papers

TitleStatusHype
Anti-Concentrated Confidence Bonuses for Scalable Exploration—0
Generalizing Reinforcement Learning to Unseen Actions—0
Burning RED: Unlocking Subtask-Driven Reinforcement Learning and Risk-Awareness in Average-Reward Markov Decision Processes—0
Generative Flow Networks: a Markov Chain Perspective—0
Exploring Explainable Multi-player MCTS-minimax Hybrids in Board Game Using Process Mining—0
Geometric Multi-Model Fitting by Deep Reinforcement Learning—0
GFCL: A GRU-based Federated Continual Learning Framework against Data Poisoning Attacks in IoV—0
GFlowVLM: Enhancing Multi-step Reasoning in Vision-Language Models with Generative Flow Networks—0
Exploring a Physics-Informed Decision Transformer for Distribution System Restoration: Methodology and Performance Analysis—0
Building Intelligent Autonomous Navigation Agents—0
When Does MAML Objective Have Benign Landscape?—0
Global Convergence of Policy Gradient Methods in Reinforcement Learning, Games and Control—0
Answer Set Programming for Non-Stationary Markov Decision Processes—0
Optimal Path Planning of Autonomous Marine Vehicles in Stochastic Dynamic Ocean Flows using a GPU-Accelerated Algorithm—0
Graph-Dependent Regret Bounds in Multi-Armed Bandits with Interference—0
Graph Neural Networks for Multi-Robot Active Information Acquisition—0
GraphOpt: Learning Optimization Models of Graph Formation—0
Graph Q-Learning for Combinatorial Optimization—0
A Deep Reinforcement Learning Approach to Rare Event Estimation—0
GST: Group-Sparse Training for Accelerating Deep Reinforcement Learning—0
Guaranteed Discovery of Control-Endogenous Latent States with Multi-Step Inverse Models—0
Hands-on Learning to Search for Structured Prediction—0
Exploration via Epistemic Value Estimation—0
HD-CB: The First Exploration of Hyperdimensional Computing for Contextual Bandits Problems—0
Exploration Unbound—0
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