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Sequential Decision Making

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Showing 151–200 of 1210 papers

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
Boosting Reinforcement Learning and Planning with Demonstrations: A Survey—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
Conservative Contextual Bandits: Beyond Linear Representations—0
Contextual Bandits for Unbounded Context Distributions—0
Adversarial Agents: Black-Box Evasion Attacks with Reinforcement Learning—0
Statistical Complexity and Optimal Algorithms for Non-linear Ridge Bandits—0
Collaborative Inter-agent Knowledge Distillation for 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
Collaborative and Federated Black-box Optimization: A Bayesian Optimization Perspective—0
The f-Divergence Reinforcement Learning Framework—0
An Arm-Wise Randomization Approach to Combinatorial Linear Semi-Bandits—0
An Anytime Algorithm for Task and Motion MDPs—0
A Contextual Bandit Approach for Stream-Based Active Learning—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
Code Models are Zero-shot Precondition Reasoners—0
Bayesian optimization explains human active search—0
Be Considerate: Objectives, Side Effects, and Deciding How to Act—0
Communication and Control Co-Design in 6G: Sequential Decision-Making with LLMs—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
Bayesian Graph Traversal—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
Federated Learning with Uncertainty via Distilled Predictive Distributions—0
Bayesian Exploration Networks—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
Bayesian decision-making under misspecified priors with applications to meta-learning—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
A naive aggregation algorithm for improving generalization in a class of learning problems—0
Adaptive Sampling for Discovery—0
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