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Sequential Decision Making

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Showing 901–950 of 1210 papers

TitleStatusHype
Adaptive Sampling for Discovery—0
Adaptive Learning Rate for Follow-the-Regularized-Leader: Competitive Analysis and Best-of-Both-Worlds—0
Adaptive Robust Online Portfolio Selection—0
Adaptive Rollout Length for Model-Based RL Using Model-Free Deep RL—0
Adaptivity in Adaptive Submodularity—0
A Deep Reinforcement Learning Approach to Rare Event Estimation—0
A Deep Reinforcement Learning Framework for Continuous Intraday Market Bidding—0
Adversarial Attacks on Online Learning to Rank with Click Feedback—0
Adversarial Deep Learning for Online Resource Allocation—0
Advice Conformance Verification by Reinforcement Learning agents for Human-in-the-Loop—0
A Farewell to Arms: Sequential Reward Maximization on a Budget with a Giving Up Option—0
A finite time analysis of distributed Q-learning—0
A Unifying Framework for Reinforcement Learning and Planning—0
A General Framework for Sequential Decision-Making under Adaptivity Constraints—0
A Generative Machine Learning Approach to Policy Optimization in Pursuit-Evasion Games—0
AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments—0
AI in Pharma for Personalized Sequential Decision-Making: Methods, Applications and Opportunities—0
AirCapRL: Autonomous Aerial Human Motion Capture using Deep Reinforcement Learning—0
AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air—0
A Law of Iterated Logarithm for Multi-Agent Reinforcement Learning—0
Algorithms for CVaR Optimization in MDPs—0
Align Your Intents: Offline Imitation Learning via Optimal Transport—0
All AI Models are Wrong, but Some are Optimal—0
A Machine of Few Words -- Interactive Speaker Recognition with Reinforcement Learning—0
A method for the online construction of the set of states of a Markov Decision Process using Answer Set Programming—0
A Minimax-MDP Framework with Future-imposed Conditions for Learning-augmented Problems—0
A Mini Review on the utilization of Reinforcement Learning with OPC UA—0
A modular framework for object-based saccadic decisions in dynamic scenes—0
MSPM: A Modularized and Scalable Multi-Agent Reinforcement Learning-based System for Financial Portfolio Management—0
A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue—0
An advantage based policy transfer algorithm for reinforcement learning with measures of transferability—0
A naive aggregation algorithm for improving generalization in a class of learning problems—0
Analysis of Thompson Sampling for Partially Observable Contextual Multi-Armed Bandits—0
An Analysis of Frame-skipping in Reinforcement Learning—0
An Anytime Algorithm for Task and Motion MDPs—0
An Arm-Wise Randomization Approach to Combinatorial Linear Semi-Bandits—0
A Near-Optimal Best-of-Both-Worlds Algorithm for Online Learning with Feedback Graphs—0
An End-to-End Reinforcement Learning Based Approach for Micro-View Order-Dispatching in Ride-Hailing—0
An Expandable Machine Learning-Optimization Framework to Sequential Decision-Making—0
An Introduction to Quantum Reinforcement Learning (QRL)—0
Annotation Efficiency: Identifying Hard Samples via Blocked Sparse Linear Bandits—0
An Online Approach to Solve the Dynamic Vehicle Routing Problem with Stochastic Trip Requests for Paratransit Services—0
An Optimized and Energy-Efficient Parallel Implementation of Non-Iteratively Trained Recurrent Neural Networks—0
A Note on Sample Complexity of Interactive Imitation Learning with Log Loss—0
Answer Set Programming for Non-Stationary Markov Decision Processes—0
Anti-Concentrated Confidence Bonuses for Scalable Exploration—0
AoI-Delay Tradeoff in Mobile Edge Caching: A Mixed-Order Drift-Plus-Penalty Algorithm—0
A POMDP Extension with Belief-dependent Rewards—0
Application of Deep Reinforcement Learning to Payment Fraud—0
A Practical Introduction to Deep Reinforcement Learning—0
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