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Sequential Decision Making

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Showing 1051–1100 of 1210 papers

TitleStatusHype
Trajectory VAE for multi-modal imitation—0
Deep Reinforcement Learning for Optimal Critical Care Pain Management with Morphine using Dueling Double-Deep Q Networks—0
Beyond Adaptive Submodularity: Approximation Guarantees of Greedy Policy with Adaptive Submodularity Ratio—0
Latent Variable Algorithms for Multimodal Learning and Sensor Fusion—0
The MineRL 2019 Competition on Sample Efficient Reinforcement Learning using Human PriorsCode0
A Short Survey On Memory Based Reinforcement Learning—0
Similarities between policy gradient methods (PGM) in Reinforcement learning (RL) and supervised learning (SL)—0
Quizbowl: The Case for Incremental Question AnsweringCode0
Meta-Learning surrogate models for sequential decision making—0
Automating Predictive Modeling Process using Reinforcement Learning—0
Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets—0
Design of intentional backdoors in sequential models—0
Scalable Thompson Sampling via Optimal Transport—0
Adaptive Sequence SubmodularityCode0
Network Offloading Policies for Cloud Robotics: a Learning-based Approach—0
Rethinking the Discount Factor in Reinforcement Learning: A Decision Theoretic Approach—0
Dynamic Real-time Multimodal Routing with Hierarchical Hybrid PlanningCode0
Hyper-parameter Tuning under a Budget Constraint—0
Deep Neural Linear Bandits: Overcoming Catastrophic Forgetting through Likelihood Matching—0
Algorithms for Fairness in Sequential Decision MakingCode0
Read, Watch, and Move: Reinforcement Learning for Temporally Grounding Natural Language Descriptions in VideosCode0
Learning and Reasoning for Robot Sequential Decision Making under Uncertainty—0
Deep Reinforcement Learning for Imbalanced ClassificationCode0
A Computational Framework for Motor Skill Acquisition—0
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications—0
Negotiable Reinforcement Learning for Pareto Optimal Sequential Decision-Making—0
Structural Causal Bandits: Where to Intervene?Code0
Regret Bounds for Online Portfolio Selection with a Cardinality Constraint—0
Monte-Carlo Tree Search for Constrained POMDPs—0
Tight Bayesian Ambiguity Sets for Robust MDPs—0
Meta-Learning for Multi-objective Reinforcement Learning—0
Stay With Me: Lifetime Maximization Through Heteroscedastic Linear Bandits With RenegingCode0
On preserving non-discrimination when combining expert advice—0
Efficient Sequence Labeling with Actor-Critic TrainingCode0
Resilient Computing with Reinforcement Learning on a Dynamical System: Case Study in Sorting—0
Geometric Multi-Model Fitting by Deep Reinforcement Learning—0
Predicting Periodicity with Temporal Difference Learning—0
Online Convex Optimization for Sequential Decision Processes and Extensive-Form Games—0
Sequential Monte Carlo BanditsCode0
Learning to Listen, Read, and Follow: Score Following as a Reinforcement Learning GameCode0
Investigating Order Effects in Multidimensional Relevance Judgment using Query Logs—0
Video Summarisation by Classification with Deep Reinforcement Learning—0
Playing against Nature: causal discovery for decision making under uncertainty—0
Multi-Task Generative Adversarial Nets with Shared Memory for Cross-Domain Coordination Control—0
Deep Reinforcement Learning for Surgical Gesture Segmentation and ClassificationCode0
Stagewise Safe Bayesian Optimization with Gaussian Processes—0
TopRank: A practical algorithm for online stochastic ranking—0
Deep Variational Reinforcement Learning for POMDPsCode0
Enhancing the Accuracy and Fairness of Human Decision MakingCode0
Learning Self-Imitating Diverse Policies—0
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