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Sequential Decision Making

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TitleStatusHype
Value Enhancement of Reinforcement Learning via Efficient and Robust Trust Region Optimization—0
Local Differential Privacy for Sequential Decision Making in a Changing Environment—0
Online Statistical Inference for Contextual Bandits via Stochastic Gradient Descent—0
Risk-Sensitive Policy with Distributional Reinforcement LearningCode1
Quantile Off-Policy Evaluation via Deep Conditional Generative Learning—0
Offline Reinforcement Learning via Linear-Programming with Error-Bound Induced Constraints—0
Linear Combinatorial Semi-Bandit with Causally Related Rewards—0
Online Statistical Inference in Decision-Making with Matrix Context—0
Bridging POMDPs and Bayesian decision making for robust maintenance planning under model uncertainty: An application to railway systemsCode1
Invariant Lipschitz Bandits: A Side Observation Approach—0
Hybrid Multi-agent Deep Reinforcement Learning for Autonomous Mobility on Demand SystemsCode1
Autoregressive BanditsCode0
Reinforced Approximate Exploratory Data Analysis—0
Information-Theoretic Safe Exploration with Gaussian ProcessesCode0
Model-based trajectory stitching for improved behavioural cloning and its applications—0
Winning the CityLearn Challenge: Adaptive Optimization with Evolutionary Search under Trajectory-based Guidance—0
Automaton-Based Representations of Task Knowledge from Generative Language Models—0
Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox—0
ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-DependencyCode2
Anderson Acceleration for Partially Observable Markov Decision Processes: A Maximum Entropy ApproachCode0
Continuous Episodic Control—0
Is Conditional Generative Modeling all you need for Decision-Making?—0
Multi-Environment Pretraining Enables Transfer to Action Limited Datasets—0
Don't Watch Me: A Spatio-Temporal Trojan Attack on Deep-Reinforcement-Learning-Augment Autonomous Driving—0
β-Multivariational Autoencoder for Entangled Representation Learning in Video FramesCode0
A Deep Reinforcement Learning Approach to Rare Event Estimation—0
UniMASK: Unified Inference in Sequential Decision ProblemsCode1
Dynamical Linear BanditsCode0
Agent-State Construction with Auxiliary InputsCode0
Doubly Inhomogeneous Reinforcement LearningCode0
Learning to Follow Instructions in Text-Based GamesCode0
A Survey on Reinforcement Learning in Aviation Applications—0
Dungeons and Data: A Large-Scale NetHack DatasetCode2
Teacher-student curriculum learning for reinforcement learning—0
HSVI can solve zero-sum Partially Observable Stochastic Games—0
Quantum deep recurrent reinforcement learning—0
PopArt: Efficient Sparse Regression and Experimental Design for Optimal Sparse Linear BanditsCode0
Sequential Decision Making on Unmatched Data using Bayesian Kernel Embeddings—0
Integrating Policy Summaries with Reward Decomposition for Explaining Reinforcement Learning Agents—0
Fine-Grained Session Recommendations in E-commerce using Deep Reinforcement Learning—0
Movement Penalized Bayesian Optimization with Application to Wind Energy Systems—0
Markup-to-Image Diffusion Models with Scheduled SamplingCode1
Learning on the Edge: Online Learning with Stochastic Feedback Graphs—0
Advice Conformance Verification by Reinforcement Learning agents for Human-in-the-Loop—0
Reinforcement Learning Approach for Multi-Agent Flexible Scheduling Problems—0
Hyperbolic Deep Reinforcement Learning—0
Continuous Monte Carlo Graph SearchCode0
Generalizing Bayesian Optimization with Decision-theoretic Entropies—0
Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy OptimizationCode1
Offline Reinforcement Learning with Differentiable Function Approximation is Provably Efficient—0
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