| Recursive Disentanglement Network | Sep 29, 2021 | DisentanglementInductive Bias | —Unverified | 0 |
| Refactoring Policy for Compositional Generalizability using Self-Supervised Object Proposals | Oct 26, 2020 | Inductive BiasSelf-Supervised Learning | —Unverified | 0 |
| Regularized Deep Signed Distance Fields for Reactive Motion Generation | Mar 9, 2022 | Inductive BiasMotion Generation | —Unverified | 0 |
| Regularizing Autoencoder-Based Matrix Completion Models via Manifold Learning | Jul 4, 2018 | Inductive BiasMatrix Completion | —Unverified | 0 |
| Reinforcement Learning for Adaptive Mesh Refinement | Mar 1, 2021 | Deep Reinforcement LearningInductive Bias | —Unverified | 0 |
| Reinforcement Learning for Generative AI: A Survey | Aug 28, 2023 | Inductive BiasLanguage Modelling | —Unverified | 0 |
| Relate to Predict: Towards Task-Independent Knowledge Representations for Reinforcement Learning | Dec 10, 2022 | Inductive BiasObject | —Unverified | 0 |
| Relating graph auto-encoders to linear models | Nov 3, 2022 | Inductive Bias | —Unverified | 0 |
| Relational inductive bias for physical construction in humans and machines | Jun 4, 2018 | Deep Reinforcement LearningInductive Bias | —Unverified | 0 |
| Relational Weight Priors in Neural Networks for Abstract Pattern Learning and Language Modelling | Mar 10, 2021 | Inductive BiasLanguage Modelling | —Unverified | 0 |
