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Sequential Decision Making

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Showing 551–600 of 1210 papers

TitleStatusHype
Accelerating exploration and representation learning with offline pre-training—0
MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from ObservationsCode0
Probabilistic inverse optimal control for non-linear partially observable systems disentangles perceptual uncertainty and behavioral costsCode0
Boosting Reinforcement Learning and Planning with Demonstrations: A Survey—0
Welfare Maximization Algorithm for Solving Budget-Constrained Multi-Component POMDPs—0
Reinforcement Learning for Omega-Regular Specifications on Continuous-Time MDP—0
Latent-Conditioned Policy Gradient for Multi-Objective Deep Reinforcement Learning—0
Merging Decision Transformers: Weight Averaging for Forming Multi-Task PoliciesCode0
Sample-efficient Adversarial Imitation Learning—0
Flooding with Absorption: An Efficient Protocol for Heterogeneous Bandits over Complex NetworksCode0
Variance-aware robust reinforcement learning with linear function approximation under heavy-tailed rewards—0
Automated Cyber Defence: A Review—0
Exploration via Epistemic Value Estimation—0
adaPARL: Adaptive Privacy-Aware Reinforcement Learning for Sequential-Decision Making Human-in-the-Loop Systems—0
Population-based Evaluation in Repeated Rock-Paper-Scissors as a Benchmark for Multiagent Reinforcement Learning—0
Causal Explanations for Sequential Decision-Making in Multi-Agent SystemsCode0
Minimax-Bayes Reinforcement LearningCode0
Dynamic Simplex: Balancing Safety and Performance in Autonomous Cyber Physical SystemsCode0
Best Arm Identification for Stochastic Rising BanditsCode0
Deep Offline Reinforcement Learning for Real-world Treatment Optimization Applications—0
Effective Dimension in Bandit Problems under Censorship—0
Scalable Bayesian optimization with high-dimensional outputs using randomized prior networksCode0
Statistical Complexity and Optimal Algorithms for Non-linear Ridge Bandits—0
A Survey on Causal Reinforcement Learning—0
Multi-task Representation Learning for Pure Exploration in Linear Bandits—0
A Scale-Independent Multi-Objective Reinforcement Learning with Convergence Analysis—0
Linear Partial Monitoring for Sequential Decision-Making: Algorithms, Regret Bounds and Applications—0
A Strong Baseline for Batch Imitation Learning—0
A Reduction-based Framework for Sequential Decision Making with Delayed Feedback—0
Learning Universal Policies via Text-Guided Video Generation—0
Learning Coordination Policies over Heterogeneous Graphs for Human-Robot Teams via Recurrent Neural Schedule PropagationCode0
Safe Posterior Sampling for Constrained MDPs with Bounded Constraint Violation—0
On the Global Convergence of Risk-Averse Policy Gradient Methods with Expected Conditional Risk Measures—0
SMART: Self-supervised Multi-task pretrAining with contRol Transformers—0
Off-Policy Evaluation for Action-Dependent Non-Stationary EnvironmentsCode0
Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation—0
The Conditional Cauchy-Schwarz Divergence with Applications to Time-Series Data and Sequential Decision MakingCode0
GBOSE: Generalized Bandit Orthogonalized Semiparametric Estimation—0
Plan To Predict: Learning an Uncertainty-Foreseeing Model for Model-Based Reinforcement LearningCode0
Differential Privacy in Cooperative Multiagent PlanningCode0
Decision-Focused Evaluation: Analyzing Performance of Deployed Restless Multi-Arm Bandits—0
Neuro-Symbolic World Models for Adapting to Open World Novelty—0
Neuro-symbolic Meta Reinforcement Learning for Trading—0
Fairness and Sequential Decision Making: Limits, Lessons, and Opportunities—0
Asynchronous training of quantum reinforcement learning—0
Sequential Fair Resource Allocation under a Markov Decision Process Framework—0
RLAS-BIABC: A Reinforcement Learning-Based Answer Selection Using the BERT Model Boosted by an Improved ABC Algorithm—0
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
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