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| 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 |
| Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learning | Dec 25, 2024 | Decision MakingOffline RL | 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 |
| Contrastive Variational Reinforcement Learning for Complex Observations | Aug 6, 2020 | Atari GamesContinuous Control | CodeCode Available | 1 | 5 |
| Conformal Inference of Counterfactuals and Individual Treatment Effects | Jun 11, 2020 | Decision MakingUncertainty Quantification | CodeCode Available | 1 | 5 |
| Conformal Alignment: Knowing When to Trust Foundation Models with Guarantees | May 16, 2024 | Decision MakingInformativeness | CodeCode Available | 1 | 5 |
| Conformal Convolution and Monte Carlo Meta-learners for Predictive Inference of Individual Treatment Effects | Feb 7, 2024 | Decision MakingMarketing | CodeCode Available | 1 | 5 |
| Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantification | Mar 18, 2022 | Autonomous DrivingDecision Making | CodeCode Available | 1 | 5 |
| Conditioning Sparse Variational Gaussian Processes for Online Decision-making | Oct 28, 2021 | Active LearningDecision Making | CodeCode Available | 1 | 5 |