| Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving | Oct 3, 2023 | Action GenerationAutonomous Driving | CodeCode Available | 2 | 5 |
| ForecastBench: A Dynamic Benchmark of AI Forecasting Capabilities | Sep 30, 2024 | Decision Making | CodeCode Available | 2 | 5 |
| MACRec: a Multi-Agent Collaboration Framework for Recommendation | Feb 23, 2024 | Conversational RecommendationDecision Making | CodeCode Available | 2 | 5 |
| An Objective Metric for Explainable AI: How and Why to Estimate the Degree of Explainability | Sep 11, 2021 | Decision MakingInformation Retrieval | CodeCode Available | 1 | 5 |
| An Introduction to Deep Reinforcement Learning | Nov 30, 2018 | BIG-bench Machine LearningDecision Making | CodeCode Available | 1 | 5 |
| Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learning | Dec 25, 2024 | Decision MakingOffline RL | CodeCode Available | 1 | 5 |
| Conformal Time-series Forecasting | Dec 1, 2021 | Conformal PredictionDecision Making | CodeCode Available | 1 | 5 |
| Abstracting Deep Neural Networks into Concept Graphs for Concept Level Interpretability | Aug 14, 2020 | Brain Tumor SegmentationDecision Making | CodeCode Available | 1 | 5 |
| ContainerGym: A Real-World Reinforcement Learning Benchmark for Resource Allocation | Jul 6, 2023 | Decision MakingDeep Reinforcement Learning | CodeCode Available | 1 | 5 |
| Conformal Inference of Counterfactuals and Individual Treatment Effects | Jun 11, 2020 | Decision MakingUncertainty Quantification | CodeCode Available | 1 | 5 |
