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Sequential Decision Making

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Showing 1001–1050 of 1210 papers

TitleStatusHype
Bandit Linear Optimization for Sequential Decision Making and Extensive-Form Games—0
Bandits in Matching Markets: Ideas and Proposals for Peer Lending—0
Bandits with Unobserved Confounders: A Causal Approach—0
Batched Neural Bandits—0
Batched Nonparametric Bandits via k-Nearest Neighbor UCB—0
Learning "What-if" Explanations for Sequential Decision-Making—0
Bayesian decision-making under misspecified priors with applications to meta-learning—0
Bayesian Exploration Networks—0
Federated Learning with Uncertainty via Distilled Predictive Distributions—0
Bayesian Graph Traversal—0
Bayesian Inverse Transition Learning for Offline Settings—0
Bayesian learning of the optimal action-value function in a Markov decision process—0
Bayesian optimization explains human active search—0
Be Considerate: Objectives, Side Effects, and Deciding How to Act—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
Statistical Complexity and Optimal Algorithms for Non-linear Ridge Bandits—0
Blessing from Human-AI Interaction: Super Reinforcement Learning in Confounded Environments—0
BOF-UCB: A Bayesian-Optimistic Frequentist Algorithm for Non-Stationary Contextual Bandits—0
Boltzmann Exploration Done Right—0
Boosting Reinforcement Learning and Planning with Demonstrations: A Survey—0
Bootstrapping Adaptive Human-Machine Interfaces with Offline Reinforcement Learning—0
Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-based Policy Learning—0
Bridging Commonsense Reasoning and Probabilistic Planning via a Probabilistic Action Language—0
Bridging Rested and Restless Bandits with Graph-Triggering: Rising and Rotting—0
Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations—0
Bridging Visualization and Optimization: Multimodal Large Language Models on Graph-Structured Combinatorial Optimization—0
Building Intelligent Autonomous Navigation Agents—0
Burning RED: Unlocking Subtask-Driven Reinforcement Learning and Risk-Awareness in Average-Reward Markov Decision Processes—0
Can A User Anticipate What Her Followers Want?—0
Reinforcement Learning for Freight Booking Control Problems—0
Causal Bayesian Optimization—0
Causal Bandits without prior knowledge using separating sets—0
Causal Markov Decision Processes: Learning Good Interventions Efficiently—0
Chasing Ghosts: Competing with Stateful Policies—0
Circuit Routing Using Monte Carlo Tree Search and Deep Neural Networks—0
Code Models are Zero-shot Precondition Reasoners—0
Collaborative and Federated Black-box Optimization: A Bayesian Optimization Perspective—0
Collaborative Inter-agent Knowledge Distillation for Reinforcement Learning—0
The f-Divergence Reinforcement Learning Framework—0
Communication and Control Co-Design in 6G: Sequential Decision-Making with LLMs—0
Communication-Control Codesign for Large-Scale Wireless Networked Control Systems—0
Compare and Select: Video Summarization with Multi-Agent Reinforcement Learning—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
Consensus in Motion: A Case of Dynamic Rationality of Sequential Learning in Probability Aggregation—0
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