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Sequential Decision Making

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Showing 851–900 of 1210 papers

TitleStatusHype
Variational Planning for Graph-based MDPs—0
Verifiable RNN-Based Policies for POMDPs Under Temporal Logic Constraints—0
Vid2World: Crafting Video Diffusion Models to Interactive World Models—0
Video Summarisation by Classification with Deep Reinforcement Learning—0
VIPER: Visual Perception and Explainable Reasoning for Sequential Decision-Making—0
Visual Comfort Aware-Reinforcement Learning for Depth Adjustment of Stereoscopic 3D Images—0
Visual Encoders for Data-Efficient Imitation Learning in Modern Video Games—0
Visual Language Tracking with Multi-modal Interaction: A Robust Benchmark—0
VLA-Cache: Towards Efficient Vision-Language-Action Model via Adaptive Token Caching in Robotic Manipulation—0
Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning—0
Weakly-supervised Multi-output Regression via Correlated Gaussian Processes—0
Welfare Maximization Algorithm for Solving Budget-Constrained Multi-Component POMDPs—0
What are the Statistical Limits of Offline RL with Linear Function Approximation?—0
When is Particle Filtering Efficient for Planning in Partially Observed Linear Dynamical Systems?—0
When to Call Your Neighbor? Strategic Communication in Cooperative Stochastic Bandits—0
Winning the CityLearn Challenge: Adaptive Optimization with Evolutionary Search under Trajectory-based Guidance—0
Working Memory Graphs—0
Worst-case Performance of Greedy Policies in Bandits with Imperfect Context Observations—0
You Can Trade Your Experience in Distributed Multi-Agent Multi-Armed Bandits—0
A Trainable Approach to Zero-delay Smoothing Spline Interpolation—0
Zero-Shot Action Generalization with Limited Observations—0
Statistical Inference with M-Estimators on Adaptively Collected Data—0
Few-shot Scooping Under Domain Shift via Simulated Maximal Deployment Gaps—0
Adversarial Agents: Black-Box Evasion Attacks with Reinforcement Learning—0
Deep Symbolic Optimization: Reinforcement Learning for Symbolic Mathematics—0
How to Provably Improve Return Conditioned Supervised Learning?—0
A Bayesian Approach to Learning Bandit Structure in Markov Decision Processes—0
Accelerating E-Commerce Search Engine Ranking by Contextual Factor Selection—0
Accelerating exploration and representation learning with offline pre-training—0
Accelerating Matrix Diagonalization through Decision Transformers with Epsilon-Greedy Optimization—0
Accelerating Offline Reinforcement Learning Application in Real-Time Bidding and Recommendation: Potential Use of Simulation—0
Accelerating Reinforcement Learning for Reaching using Continuous Curriculum Learning—0
A Classification View on Meta Learning Bandits—0
A Computational Framework for Motor Skill Acquisition—0
A Contextual Bandit Approach for Stream-Based Active Learning—0
Action Set Based Policy Optimization for Safe Power Grid Management—0
Active Layer-Contrastive Decoding Reduces Hallucination in Large Language Model Generation—0
Active Learning-Based Multistage Sequential Decision-Making Model with Application on Common Bile Duct Stone Evaluation—0
Active Learning for Accurate Estimation of Linear Models—0
Active Measure Reinforcement Learning for Observation Cost Minimization—0
Active Reinforcement Learning Strategies for Offline Policy Improvement—0
Active Sensing as Bayes-Optimal Sequential Decision Making—0
Active Sensing as Bayes-Optimal Sequential Decision Making—0
Actor-Critic Algorithms for Risk-Sensitive MDPs—0
Actor-Critic Deep Reinforcement Learning for Solving Job Shop Scheduling Problems—0
Actual Causality and Responsibility Attribution in Decentralized Partially Observable Markov Decision Processes—0
A Customizable Generator for Comic-Style Visual Narrative—0
adaPARL: Adaptive Privacy-Aware Reinforcement Learning for Sequential-Decision Making Human-in-the-Loop Systems—0
Adaptive Exploration in Linear Contextual Bandit—0
Adaptive Frontier Exploration on Graphs with Applications to Network-Based Disease Testing—0
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