| Beyond O(T) Regret: Decoupling Learning and Decision-making in Online Linear Programming | Jan 6, 2025 | Decision MakingSequential Decision Making | —Unverified | 0 |
| Co-Activation Graph Analysis of Safety-Verified and Explainable Deep Reinforcement Learning Policies | Jan 6, 2025 | Decision MakingDeep Reinforcement Learning | CodeCode Available | 1 |
| SeqMvRL: A Sequential Fusion Framework for Multi-view Representation Learning | Jan 1, 2025 | Representation LearningSequential Decision Making | —Unverified | 0 |
| Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts | Jan 1, 2025 | ClusteringOnline Clustering | —Unverified | 0 |
| Optimizing Fantasy Sports Team Selection with Deep Reinforcement Learning | Dec 26, 2024 | Decision MakingDeep Reinforcement Learning | —Unverified | 0 |
| Navigating Data Corruption in Machine Learning: Balancing Quality, Quantity, and Imputation Strategies | Dec 24, 2024 | Deep Reinforcement LearningImputation | CodeCode Available | 0 |
| MineStudio: A Streamlined Package for Minecraft AI Agent Development | Dec 24, 2024 | AI AgentDecision Making | CodeCode Available | 3 |
| HyperQ-Opt: Q-learning for Hyperparameter Optimization | Dec 23, 2024 | Bayesian OptimizationHyperparameter Optimization | —Unverified | 0 |
| Fairness in Reinforcement Learning with Bisimulation Metrics | Dec 22, 2024 | Decision MakingFairness | —Unverified | 0 |
| GAS: Generative Auto-bidding with Post-training Search | Dec 22, 2024 | Computational EfficiencySequential Decision Making | —Unverified | 0 |
| Subgoal Discovery Using a Free Energy Paradigm and State Aggregations | Dec 21, 2024 | Reinforcement Learning (RL)Sequential Decision Making | —Unverified | 0 |
| DriveGPT: Scaling Autoregressive Behavior Models for Driving | Dec 19, 2024 | Autonomous DrivingDecision Making | —Unverified | 0 |
| Threshold UCT: Cost-Constrained Monte Carlo Tree Search with Pareto Curves | Dec 18, 2024 | Decision MakingSequential Decision Making | —Unverified | 0 |
| Active Reinforcement Learning Strategies for Offline Policy Improvement | Dec 17, 2024 | Active Learningcontinuous-control | —Unverified | 0 |
| Revelations: A Decidable Class of POMDPs with Omega-Regular Objectives | Dec 16, 2024 | Decision MakingSequential Decision Making | CodeCode Available | 0 |
| Solving Robust Markov Decision Processes: Generic, Reliable, Efficient | Dec 13, 2024 | Decision MakingSequential Decision Making | —Unverified | 0 |
| How Should We Represent History in Interpretable Models of Clinical Policies? | Dec 10, 2024 | Decision MakingRepresentation Learning | CodeCode Available | 0 |
| Effective Reward Specification in Deep Reinforcement Learning | Dec 10, 2024 | Deep Reinforcement Learningreinforcement-learning | —Unverified | 0 |
| Swarm Behavior Cloning | Dec 10, 2024 | Decision MakingImitation Learning | —Unverified | 0 |
| Optimizing Sensor Redundancy in Sequential Decision-Making Problems | Dec 10, 2024 | Decision MakingOpenAI Gym | —Unverified | 0 |
| Discrete-Time Distribution Steering using Monte Carlo Tree Search | Dec 9, 2024 | Decision MakingSequential Decision Making | CodeCode Available | 0 |
| A Note on Sample Complexity of Interactive Imitation Learning with Log Loss | Dec 9, 2024 | Decision MakingImitation Learning | —Unverified | 0 |
| Conservative Contextual Bandits: Beyond Linear Representations | Dec 9, 2024 | Multi-Armed BanditsSequential Decision Making | —Unverified | 0 |
| Reinforcement Learning: An Overview | Dec 6, 2024 | Decision MakingDeep Reinforcement Learning | —Unverified | 0 |
| Nonmyopic Global Optimisation via Approximate Dynamic Programming | Dec 6, 2024 | Bayesian OptimisationGaussian Processes | CodeCode Available | 0 |
