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Sequential Decision Making

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TitleStatusHype
Occupancy Anticipation for Efficient Exploration and NavigationCode1
A Survey of Knowledge-based Sequential Decision Making under Uncertainty—0
Deep Model-Based Reinforcement Learning for High-Dimensional Problems, a Survey—0
A Machine of Few Words -- Interactive Speaker Recognition with Reinforcement Learning—0
Tracking the Race Between Deep Reinforcement Learning and Imitation Learning -- Extended Version—0
Dynamics Generalization via Information Bottleneck in Deep Reinforcement Learning—0
Compare and Select: Video Summarization with Multi-Agent Reinforcement Learning—0
Data-efficient visuomotor policy training using reinforcement learning and generative models—0
AirCapRL: Autonomous Aerial Human Motion Capture using Deep Reinforcement Learning—0
Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Approaches—0
Fast reinforcement learning with generalized policy updates—0
GraphOpt: Learning Optimization Models of Graph Formation—0
Learning "What-if" Explanations for Sequential Decision-Making—0
Falsification-Based Robust Adversarial Reinforcement Learning—0
Convex Regularization in Monte-Carlo Tree Search—0
Enforcing Almost-Sure Reachability in POMDPsCode0
Model-based Reinforcement Learning: A Survey—0
On Bellman's Optimality Principle for zs-POSGs—0
Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step TreesCode1
A Unifying Framework for Reinforcement Learning and Planning—0
Circuit Routing Using Monte Carlo Tree Search and Deep Neural Networks—0
Risk-Sensitive Reinforcement Learning: a Martingale Approach to Reward Uncertainty—0
Towards Tractable Optimism in Model-Based Reinforcement Learning—0
Counterfactually Guided Off-policy Transfer in Clinical Settings—0
Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence FunctionsCode0
Learning by Repetition: Stochastic Multi-armed Bandits under Priming Effect—0
Parameterized MDPs and Reinforcement Learning Problems -- A Maximum Entropy Principle Based Framework—0
On the Relationship Between Structure in Natural Language and Models of Sequential Decision Processes—0
Mutual Information Based Knowledge Transfer Under State-Action Dimension MismatchCode0
Recurrent Sum-Product-Max Networks for Decision Making in Perfectly-Observed EnvironmentsCode0
Group-Fair Online Allocation in Continuous Time—0
Modeling Human Driving Behavior through Generative Adversarial Imitation Learning—0
When is Particle Filtering Efficient for Planning in Partially Observed Linear Dynamical Systems?—0
Stealing Deep Reinforcement Learning Models for Fun and Profit—0
Sharp Thresholds of the Information Cascade Fragility Under a Mismatched Model—0
When Does MAML Objective Have Benign Landscape?—0
Reinforcement LearningCode0
Dynamic Bi-Objective Routing of Multiple Vehicles—0
Dynamic Multi-Robot Task Allocation under Uncertainty and Temporal ConstraintsCode1
Active Measure Reinforcement Learning for Observation Cost Minimization—0
Causal Bayesian Optimization—0
Implementability of Honest Multi-Agent Sequential Decision-Making with Dynamic Population—0
Think Too Fast Nor Too Slow: The Computational Trade-off Between Planning And Reinforcement LearningCode0
Scalable First-Order Methods for Robust MDPs—0
Unified Models of Human Behavioral Agents in Bandits, Contextual Bandits and RLCode1
Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning—0
iCORPP: Interleaved Commonsense Reasoning and Probabilistic Planning on Robots—0
Actor-Critic Deep Reinforcement Learning for Solving Job Shop Scheduling Problems—0
Sequential Batch Learning in Finite-Action Linear Contextual Bandits—0
Distributed Learning: Sequential Decision Making in Resource-Constrained Environments—0
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