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Sequential Decision Making

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Showing 701–750 of 1210 papers

TitleStatusHype
How to Measure Human-AI Prediction Accuracy in Explainable AI Systems—0
HSVI can solve zero-sum Partially Observable Stochastic Games—0
HSVI for zs-POSGs using Concavity, Convexity and Lipschitz Properties—0
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
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
iCORPP: Interleaved Commonsense Reasoning and Probabilistic Planning on Robots—0
Identification of Subgroups With Similar Benefits in Off-Policy Policy Evaluation—0
IF2Net: Innately Forgetting-Free Networks for Continual Learning—0
IMM: An Imitative Reinforcement Learning Approach with Predictive Representation Learning for Automatic Market Making—0
Implementability of Honest Multi-Agent Sequential Decision-Making with Dynamic Population—0
Improved Regret for Differentially Private Exploration in Linear MDP—0
Improving Generalization of Reinforcement Learning with Minimax Distributional Soft Actor-Critic—0
Improving Human Decision-Making by Discovering Efficient Strategies for Hierarchical Planning—0
Improving Human Sequential Decision-Making with Reinforcement Learning—0
Improving Online Rent-or-Buy Algorithms with Sequential Decision Making and ML Predictions—0
Improving saliency models' predictions of the next fixation with humans' intrinsic cost of gaze shifts—0
Improving Zero-shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions—0
Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation—0
Inducing Stackelberg Equilibrium through Spatio-Temporal Sequential Decision-Making in Multi-Agent Reinforcement Learning—0
Inference of Utilities and Time Preference in Sequential Decision-Making—0
Information Avoidance and Overvaluation in Sequential Decision Making under Epistemic Constraints—0
Information Directed Sampling for Linear Partial Monitoring—0
Information-Theoretic Safe Bayesian Optimization—0
InfraLib: Enabling Reinforcement Learning and Decision-Making for Large-Scale Infrastructure Management—0
Integrated Sensing and Communications for Low-Altitude Economy: A Deep Reinforcement Learning Approach—0
Integrating Policy Summaries with Reward Decomposition for Explaining Reinforcement Learning Agents—0
Integrating Reward Maximization and Population Estimation: Sequential Decision-Making for Internal Revenue Service Audit Selection—0
Interactions between dynamic team composition and coordination: An agent-based modeling approach—0
Interpolating Between Softmax Policy Gradient and Neural Replicator Dynamics with Capped Implicit Exploration—0
Interpretability in Action: Exploratory Analysis of VPT, a Minecraft Agent—0
Intrinsically Motivated Hierarchical Policy Learning in Multi-objective Markov Decision Processes—0
Invariant Lipschitz Bandits: A Side Observation Approach—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
Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning—0
Is Conditional Generative Modeling all you need for Decision-Making?—0
Is Reinforcement Learning More Difficult Than Bandits? A Near-optimal Algorithm Escaping the Curse of Horizon—0
Jamming-Resilient Path Planning for Multiple UAVs via Deep Reinforcement Learning—0
JARVIS: A Neuro-Symbolic Commonsense Reasoning Framework for Conversational Embodied Agents—0
Joint AP Probing and Scheduling: A Contextual Bandit Approach—0
Keep Various Trajectories: Promoting Exploration of Ensemble Policies in Continuous Control—0
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