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Sequential Decision Making

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TitleStatusHype
Action Set Based Policy Optimization for Safe Power Grid Management—0
Annotation Efficiency: Identifying Hard Samples via Blocked Sparse Linear Bandits—0
Few-shot Scooping Under Domain Shift via Simulated Maximal Deployment Gaps—0
An Expandable Machine Learning-Optimization Framework to Sequential Decision-Making—0
Boltzmann Exploration Done Right—0
Deep Symbolic Optimization: Reinforcement Learning for Symbolic Mathematics—0
Composite Bayesian Optimization In Function Spaces Using NEON -- Neural Epistemic Operator Networks—0
Computing Preimages of Deep Neural Networks with Applications to Safety—0
Constrained Online Decision-Making: A Unified Framework—0
Contextual Experience Replay for Self-Improvement of Language Agents—0
Adversarial Agents: Black-Box Evasion Attacks with Reinforcement Learning—0
Statistical Complexity and Optimal Algorithms for Non-linear Ridge Bandits—0
The f-Divergence Reinforcement Learning Framework—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
Collaborative Inter-agent Knowledge Distillation for Reinforcement Learning—0
Communication and Control Co-Design in 6G: Sequential Decision-Making with LLMs—0
An Arm-Wise Randomization Approach to Combinatorial Linear Semi-Bandits—0
A Contextual Bandit Approach for Stream-Based Active Learning—0
Code Models are Zero-shot Precondition Reasoners—0
An Analysis of Frame-skipping in Reinforcement Learning—0
Bayesian learning of the optimal action-value function in a Markov decision process—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
Collaborative and Federated Black-box Optimization: A Bayesian Optimization Perspective—0
Bayesian optimization explains human active search—0
Be Considerate: Objectives, Side Effects, and Deciding How to Act—0
An Anytime Algorithm for Task and Motion MDPs—0
Adaptive Robust Online Portfolio Selection—0
Beta DVBF: Learning State-Space Models for Control from High Dimensional Observations—0
BeTAIL: Behavior Transformer Adversarial Imitation Learning from Human Racing Gameplay—0
Between Rate-Distortion Theory & Value Equivalence in Model-Based Reinforcement Learning—0
Beyond Adaptive Submodularity: Approximation Guarantees of Greedy Policy with Adaptive Submodularity Ratio—0
Beyond O(T) Regret: Decoupling Learning and Decision-making in Online Linear Programming—0
Beyond Stationarity: Convergence Analysis of Stochastic Softmax Policy Gradient Methods—0
Communication-Control Codesign for Large-Scale Wireless Networked Control Systems—0
Blessing from Human-AI Interaction: Super Reinforcement Learning in Confounded Environments—0
An End-to-End Reinforcement Learning Based Approach for Micro-View Order-Dispatching in Ride-Hailing—0
BOF-UCB: A Bayesian-Optimistic Frequentist Algorithm for Non-Stationary Contextual Bandits—0
Bayesian Graph Traversal—0
Boosting Reinforcement Learning and Planning with Demonstrations: A Survey—0
Bootstrapping Adaptive Human-Machine Interfaces with Offline Reinforcement Learning—0
An Introduction to Quantum Reinforcement Learning (QRL)—0
Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-based Policy Learning—0
Federated Learning with Uncertainty via Distilled Predictive Distributions—0
An Online Approach to Solve the Dynamic Vehicle Routing Problem with Stochastic Trip Requests for Paratransit Services—0
Bridging Commonsense Reasoning and Probabilistic Planning via a Probabilistic Action Language—0
Bayesian Exploration Networks—0
Bayesian decision-making under misspecified priors with applications to meta-learning—0
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