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Sequential Decision Making

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TitleStatusHype
Beyond Adaptive Submodularity: Approximation Guarantees of Greedy Policy with Adaptive Submodularity Ratio—0
Effective Reward Specification in Deep Reinforcement Learning—0
Between Rate-Distortion Theory & Value Equivalence in Model-Based Reinforcement Learning—0
A Near-Optimal Best-of-Both-Worlds Algorithm for Online Learning with Feedback Graphs—0
Adaptive Rollout Length for Model-Based RL Using Model-Free Deep RL—0
Effective Dimension in Bandit Problems under Censorship—0
BeTAIL: Behavior Transformer Adversarial Imitation Learning from Human Racing Gameplay—0
EARL-BO: Reinforcement Learning for Multi-Step Lookahead, High-Dimensional Bayesian Optimization—0
Beta DVBF: Learning State-Space Models for Control from High Dimensional Observations—0
An Arm-Wise Randomization Approach to Combinatorial Linear Semi-Bandits—0
Dynamics Generalization via Information Bottleneck in Deep Reinforcement Learning—0
Dynamic Decision Making for Graphical Models Applied to Oil Exploration—0
An Anytime Algorithm for Task and Motion MDPs—0
Adaptive Robust Online Portfolio Selection—0
Dynamic Bi-Objective Routing of Multiple Vehicles—0
Be Considerate: Objectives, Side Effects, and Deciding How to Act—0
Bayesian optimization explains human active search—0
An Analysis of Frame-skipping in Reinforcement Learning—0
DriveGPT: Scaling Autoregressive Behavior Models for Driving—0
Doubly Robust Policy Evaluation and Optimization—0
Bayesian learning of the optimal action-value function in a Markov decision process—0
Doubly Robust Off-policy Value Evaluation for Reinforcement Learning—0
Bayesian Inverse Transition Learning for Offline Settings—0
Analysis of Thompson Sampling for Partially Observable Contextual Multi-Armed Bandits—0
Adaptive Learning Rate for Follow-the-Regularized-Leader: Competitive Analysis and Best-of-Both-Worlds—0
A Contextual Bandit Approach for Stream-Based Active Learning—0
DOPL: Direct Online Preference Learning for Restless Bandits with Preference Feedback—0
Don't Watch Me: A Spatio-Temporal Trojan Attack on Deep-Reinforcement-Learning-Augment Autonomous Driving—0
Bayesian Graph Traversal—0
Do LLMs Play Dice? Exploring Probability Distribution Sampling in Large Language Models for Behavioral Simulation—0
Federated Learning with Uncertainty via Distilled Predictive Distributions—0
Divide-and-Conquer Monte Carlo Tree Search—0
Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning—0
Bayesian Exploration Networks—0
Distributional Robustness and Regularization in Reinforcement Learning—0
Distributed Optimization via Kernelized Multi-armed Bandits—0
Bayesian decision-making under misspecified priors with applications to meta-learning—0
A naive aggregation algorithm for improving generalization in a class of learning problems—0
Adaptive Sampling for Discovery—0
Distributed Online Learning in Social Recommender Systems—0
Distributed Multi-Objective Dynamic Offloading Scheduling for Air-Ground Cooperative MEC—0
Learning "What-if" Explanations for Sequential Decision-Making—0
Distributed Learning: Sequential Decision Making in Resource-Constrained Environments—0
Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox—0
Batched Nonparametric Bandits via k-Nearest Neighbor UCB—0
An advantage based policy transfer algorithm for reinforcement learning with measures of transferability—0
Discovering an Aid Policy to Minimize Student Evasion Using Offline Reinforcement Learning—0
Direct and indirect reinforcement learning—0
Batched Neural Bandits—0
Adaptive Frontier Exploration on Graphs with Applications to Network-Based Disease Testing—0
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