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Sequential Decision Making

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TitleStatusHype
Integrated Sensing and Communications for Low-Altitude Economy: A Deep Reinforcement Learning Approach—0
Technical Report on Reinforcement Learning Control on the Lucas-Nülle Inverted Pendulum—0
Time-Series-Informed Closed-loop Learning for Sequential Decision Making and Control—0
Selective Reviews of Bandit Problems in AI via a Statistical View—0
Failure Probability Estimation for Black-Box Autonomous Systems using State-Dependent Importance Sampling Proposals—0
Decision Transformer vs. Decision Mamba: Analysing the Complexity of Sequential Decision Making in Atari GamesCode0
STEVE-Audio: Expanding the Goal Conditioning Modalities of Embodied Agents in Minecraft—0
Market Making without Regret—0
On adaptivity and minimax optimality of two-sided nearest neighborsCode0
Robust Markov Decision Processes: A Place Where AI and Formal Methods Meet—0
Towards Sample-Efficiency and Generalization of Transfer and Inverse Reinforcement Learning: A Comprehensive Literature Review—0
Fair Resource Allocation in Weakly Coupled Markov Decision Processes—0
SANDWICH: Towards an Offline, Differentiable, Fully-Trainable Wireless Neural Ray-Tracing SurrogateCode0
Optimal Control of Mechanical Ventilators with Learned Respiratory DynamicsCode0
Collaborative and Federated Black-box Optimization: A Bayesian Optimization Perspective—0
PageRank Bandits for Link PredictionCode0
LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban SimulationCode1
EARL-BO: Reinforcement Learning for Multi-Step Lookahead, High-Dimensional Bayesian Optimization—0
Quantum Reinforcement Learning-Based Two-Stage Unit Commitment Framework for Enhanced Power Systems Robustness—0
Annotation Efficiency: Identifying Hard Samples via Blocked Sparse Linear Bandits—0
Reinforcement Learning for Aligning Large Language Models Agents with Interactive Environments: Quantifying and Mitigating Prompt Overfitting—0
Robust Thompson Sampling Algorithms Against Reward Poisoning Attacks—0
Learning Versatile Skills with Curriculum MaskingCode0
Convex Markov Games: A New Frontier for Multi-Agent Reinforcement Learning—0
Hierarchical Upper Confidence Bounds for Constrained Online Learning—0
Counterfactual Effect Decomposition in Multi-Agent Sequential Decision MakingCode0
SAC-GLAM: Improving Online RL for LLM agents with Soft Actor-Critic and Hindsight Relabeling—0
Communication-Control Codesign for Large-Scale Wireless Networked Control Systems—0
Burning RED: Unlocking Subtask-Driven Reinforcement Learning and Risk-Awareness in Average-Reward Markov Decision Processes—0
Efficient Reinforcement Learning with Large Language Model Priors—0
Offline Hierarchical Reinforcement Learning via Inverse Optimization—0
On the Modeling Capabilities of Large Language Models for Sequential Decision Making—0
DataEnvGym: Data Generation Agents in Teacher Environments with Student FeedbackCode1
DOPL: Direct Online Preference Learning for Restless Bandits with Preference Feedback—0
Preference Optimization as Probabilistic Inference—0
Minimax-optimal trust-aware multi-armed bandits—0
Learning a Fast Mixing Exogenous Block MDP using a Single TrajectoryCode0
Adaptive teachers for amortized samplersCode0
AVID: Adapting Video Diffusion Models to World ModelsCode0
Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel—0
Collaborative Comic Generation: Integrating Visual Narrative Theories with AI Models for Enhanced CreativityCode0
Learning Utilities from Demonstrations in Markov Decision Processes—0
Reference Points, Risk-Taking Behavior, and Competitive Outcomes in Sequential Settings—0
Learning Discrete World Models for Heuristic SearchCode1
Visual Language Tracking with Multi-modal Interaction: A Robust Benchmark—0
Hierarchical Reinforcement Learning for Temporal Abstraction of Listwise Recommendation—0
HierLLM: Hierarchical Large Language Model for Question Recommendation—0
Bridging Rested and Restless Bandits with Graph-Triggering: Rising and Rotting—0
Forward KL Regularized Preference Optimization for Aligning Diffusion Policies—0
An Introduction to Quantum Reinforcement Learning (QRL)—0
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