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Sequential Decision Making

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TitleStatusHype
Thompson Sampling for Contextual Bandit Problems with Auxiliary Safety Constraints—0
Thompson Sampling via Local UncertaintyCode0
Policy Learning for Malaria ControlCode0
Adaptive Exploration in Linear Contextual Bandit—0
Deep Q-Network for Angry BirdsCode0
MABWiser: A Parallelizable Contextual Multi-Armed Bandit Library for PythonCode0
The Choice Function Framework for Online Policy Improvement—0
Reinforcement Learning for Multi-Objective Optimization of Online Decisions in High-Dimensional Systems—0
Generalizing Reinforcement Learning to Unseen Actions—0
Collaborative Inter-agent Knowledge Distillation for Reinforcement Learning—0
Learning Functionally Decomposed Hierarchies for Continuous Navigation Tasks—0
PROVABLY BENEFITS OF DEEP HIERARCHICAL RL—0
Selective Network Discovery via Deep Reinforcement Learning on Embedded Spaces—0
Back to the Future -- Sequential Alignment of Text RepresentationsCode0
Classification with Costly Features as a Sequential Decision-Making ProblemCode0
An Arm-Wise Randomization Approach to Combinatorial Linear Semi-Bandits—0
Prediction, Consistency, Curvature: Representation Learning for Locally-Linear ControlCode0
Can A User Anticipate What Her Followers Want?—0
Interactive Machine Comprehension with Information Seeking AgentsCode0
Reinforcement Learning in Healthcare: A Survey—0
Exploring Offline Policy Evaluation for the Continuous-Armed Bandit Problem—0
Online Planning for Decentralized Stochastic Control with Partial History Sharing—0
Bridging Commonsense Reasoning and Probabilistic Planning via a Probabilistic Action Language—0
Reward Learning for Efficient Reinforcement Learning in Extractive Document SummarisationCode0
Bandit Convex Optimization in Non-stationary Environments—0
Scaling Multi-Armed Bandit Algorithms—0
IR-VIC: Unsupervised Discovery of Sub-goals for Transfer in RL—0
A Sufficient Statistic for Influence in Structured Multiagent Environments—0
Reward Advancement: Transforming Policy under Maximum Causal Entropy Principle—0
A Scheme for Dynamic Risk-Sensitive Sequential Decision Making—0
Thompson Sampling on Symmetric α-Stable Bandits—0
Co-training for Policy LearningCode0
Bridging by Word: Image Grounded Vocabulary Construction for Visual CaptioningCode0
Exploiting Relevance for Online Decision-Making in High-Dimensions—0
Learning Markov models via low-rank optimization—0
A Theoretical Connection Between Statistical Physics and Reinforcement Learning—0
A Hierarchical Architecture for Sequential Decision-Making in Autonomous Driving using Deep Reinforcement LearningCode0
Macro-action Multi-time scale Dynamic Programming for Energy Management in Buildings with Phase Change Materials—0
Neural Heterogeneous Scheduler—0
Non-Stationary Reinforcement Learning: The Blessing of (More) Optimism—0
Lifelong Learning with a Changing Action SetCode0
Reinforcement Learning When All Actions are Not Always AvailableCode0
Learning NP-Hard Multi-Agent Assignment Planning using GNN: Inference on a Random Graph and Provable Auction-Fitted Q-learning—0
Learning to Discretize: Solving 1D Scalar Conservation Laws via Deep Reinforcement LearningCode0
Multi-hop Reading Comprehension via Deep Reinforcement Learning based Document TraversalCode0
Knowledge-Based Sequential Decision-Making Under Uncertainty—0
Tight Regret Bounds for Infinite-armed Linear Contextual Bandits—0
Group Retention when Using Machine Learning in Sequential Decision Making: the Interplay between User Dynamics and Fairness—0
Understanding & Generalizing AlphaGo Zero—0
Soft Q-Learning with Mutual-Information Regularization—0
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