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Sequential Decision Making

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Showing 801–850 of 1210 papers

TitleStatusHype
Thompson Sampling for Contextual Bandit Problems with Auxiliary Safety Constraints—0
Thompson sampling for improved exploration in GFlowNets—0
Thompson Sampling on Symmetric α-Stable Bandits—0
Thompson Sampling with Virtual Helping Agents—0
Threshold UCT: Cost-Constrained Monte Carlo Tree Search with Pareto Curves—0
Tight Bayesian Ambiguity Sets for Robust MDPs—0
Tight Bounds for Bandit Combinatorial Optimization—0
Tight Lower Bounds for Combinatorial Multi-Armed Bandits—0
Tight Regret Bounds for Infinite-armed Linear Contextual Bandits—0
Time-Series-Informed Closed-loop Learning for Sequential Decision Making and Control—0
TopRank: A practical algorithm for online stochastic ranking—0
Toward negotiable reinforcement learning: shifting priorities in Pareto optimal sequential decision-making—0
Towards an Adaptable and Generalizable Optimization Engine in Decision and Control: A Meta Reinforcement Learning Approach—0
Towards a Unified Framework for Sequential Decision Making—0
Towards Enabling Learning for Time-Varying finite horizon Sequential Decision-Making Problems*—0
Towards Flexible Inference in Sequential Decision Problems via Bidirectional Transformers—0
Towards More Efficient, Robust, Instance-adaptive, and Generalizable Sequential Decision making—0
Towards Off-Policy Reinforcement Learning for Ranking Policies with Human Feedback—0
Towards Responsible AI: Advances in Safety, Fairness, and Accountability of Autonomous Systems—0
Towards Sample-Efficiency and Generalization of Transfer and Inverse Reinforcement Learning: A Comprehensive Literature Review—0
Toward the Fundamental Limits of Imitation Learning—0
Toward TransfORmers: Revolutionizing the Solution of Mixed Integer Programs with Transformers—0
Tracking the Race Between Deep Reinforcement Learning and Imitation Learning -- Extended Version—0
Tradeoffs When Considering Deep Reinforcement Learning for Contingency Management in Advanced Air Mobility—0
Training and Evaluation of Deep Policies using Reinforcement Learning and Generative Models—0
Trajectory VAE for multi-modal imitation—0
Transfer Learning in Deep Reinforcement Learning: A Survey—0
Truncated Matrix Completion - An Empirical Study—0
Two Phase Q-learning for Bidding-based Vehicle Sharing—0
Efficiently Training Deep-Learning Parametric Policies using Lagrangian Duality—0
UAV-assisted Online Machine Learning over Multi-Tiered Networks: A Hierarchical Nested Personalized Federated Learning Approach—0
UCBoost: A Boosting Approach to Tame Complexity and Optimality for Stochastic Bandits—0
Understanding and Leveraging Causal Relations in Deep Reinforcement Learning—0
Understanding & Generalizing AlphaGo Zero—0
Understanding Human Behaviors in Crowds by Imitating the Decision-Making Process—0
Understanding the stochastic dynamics of sequential decision-making processes: A path-integral analysis of multi-armed bandits—0
Understanding the Training and Generalization of Pretrained Transformer for Sequential Decision Making—0
Unifying and Optimizing Data Values for Selection via Sequential-Decision-Making—0
Unlocking the Potential of Simulators: Design with RL in Mind—0
UNO Arena for Evaluating Sequential Decision-Making Capability of Large Language Models—0
IR-VIC: Unsupervised Discovery of Sub-goals for Transfer in RL—0
Using General Value Functions to Learn Domain-Backed Inventory Management Policies—0
Using Reinforcement Learning for Demand Response of Domestic Hot Water Buffers: a Real-Life Demonstration—0
Utility-based Dueling Bandits as a Partial Monitoring Game—0
Utility Theory for Sequential Decision Making—0
Value Enhancement of Reinforcement Learning via Efficient and Robust Trust Region Optimization—0
Variance-aware robust reinforcement learning with linear function approximation under heavy-tailed rewards—0
Variance-Constrained Actor-Critic Algorithms for Discounted and Average Reward MDPs—0
Variational Deep Learning via Implicit Regularization—0
Variational Offline Multi-agent Skill Discovery—0
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