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Sequential Decision Making

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Showing 501–550 of 1210 papers

TitleStatusHype
Human AI interaction loop training: New approach for interactive reinforcement learning—0
Human-Aware Robot Navigation via Reinforcement Learning with Hindsight Experience Replay and Curriculum Learning—0
Human collective intelligence as distributed Bayesian inference—0
Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets—0
Human-Modeling in Sequential Decision-Making: An Analysis through the Lens of Human-Aware AI—0
Decentralized Multi-Agent Reinforcement Learning with Networked Agents: Recent Advances—0
Hyperbolic Deep Reinforcement Learning—0
Hyperparameter Transfer Learning with Adaptive Complexity—0
Hyper-parameter Tuning under a Budget Constraint—0
HyperQ-Opt: Q-learning for Hyperparameter Optimization—0
A Theoretical Connection Between Statistical Physics and Reinforcement Learning—0
AirCapRL: Autonomous Aerial Human Motion Capture using Deep Reinforcement Learning—0
Large Sequence Models for Sequential Decision-Making: A Survey—0
Decentralized Cross-Entropy Method for Model-Based Reinforcement Learning—0
Asynchronous training of quantum reinforcement learning—0
Actor-Critic Deep Reinforcement Learning for Solving Job Shop Scheduling Problems—0
DDO: Dual-Decision Optimization via Multi-Agent Collaboration for LLM-Based Medical Consultation—0
DBA bandits: Self-driving index tuning under ad-hoc, analytical workloads with safety guarantees—0
Asymmetric Actor Critic for Image-Based Robot Learning—0
AI in Pharma for Personalized Sequential Decision-Making: Methods, Applications and Opportunities—0
A Survey on Reinforcement Learning in Aviation Applications—0
Accelerating Reinforcement Learning for Reaching using Continuous Curriculum Learning—0
Invariant Lipschitz Bandits: A Side Observation Approach—0
Interpretability in Action: Exploratory Analysis of VPT, a Minecraft Agent—0
Data-efficient visuomotor policy training using reinforcement learning and generative models—0
A Survey on Model-based Reinforcement Learning—0
Language Guided Exploration for RL Agents in Text Environments—0
Last-Iterate Global Convergence of Policy Gradients for Constrained Reinforcement Learning—0
Joint AP Probing and Scheduling: A Contextual Bandit Approach—0
Accelerating Offline Reinforcement Learning Application in Real-Time Bidding and Recommendation: Potential Use of Simulation—0
Keep Various Trajectories: Promoting Exploration of Ensemble Policies in Continuous Control—0
Interactions between dynamic team composition and coordination: An agent-based modeling approach—0
Integrating Reward Maximization and Population Estimation: Sequential Decision-Making for Internal Revenue Service Audit Selection—0
Data-Driven Online Model Selection With Regret Guarantees—0
Integrating Policy Summaries with Reward Decomposition for Explaining Reinforcement Learning Agents—0
Integrated Sensing and Communications for Low-Altitude Economy: A Deep Reinforcement Learning Approach—0
D3HRL: A Distributed Hierarchical Reinforcement Learning Approach Based on Causal Discovery and Spurious Correlation Detection—0
A Survey on Interpretable Reinforcement Learning—0
Data-Driven Upper Confidence Bounds with Near-Optimal Regret for Heavy-Tailed Bandits—0
A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning—0
Data-Efficient Reinforcement Learning for Malaria Control—0
Interpolating Between Softmax Policy Gradient and Neural Replicator Dynamics with Capped Implicit Exploration—0
Knowledge-Based Sequential Decision-Making Under Uncertainty—0
Intrinsically Motivated Hierarchical Policy Learning in Multi-objective Markov Decision Processes—0
A Survey on Explainable Deep Reinforcement Learning—0
Inverse Design of Photonic Crystal Surface Emitting Lasers is a Sequence Modeling Problem—0
Inverse Policy Evaluation for Value-based Sequential Decision-making—0
Inverse-RLignment: Large Language Model Alignment from Demonstrations through Inverse Reinforcement Learning—0
Investigating Order Effects in Multidimensional Relevance Judgment using Query Logs—0
InfraLib: Enabling Reinforcement Learning and Decision-Making for Large-Scale Infrastructure Management—0
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