| Meta Reinforcement Learning with Task Embedding and Shared Policy | May 16, 2019 | Deep Reinforcement LearningMeta-Learning | CodeCode Available | 0 |
| Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Estimators for Reinforcement Learning | Sep 23, 2019 | continuous-controlContinuous Control | CodeCode Available | 0 |
| ProMP: Proximal Meta-Policy Search | Oct 16, 2018 | Meta-LearningMeta Reinforcement Learning | CodeCode Available | 0 |
| Introducing Neuromodulation in Deep Neural Networks to Learn Adaptive Behaviours | Dec 21, 2018 | Meta Reinforcement LearningReinforcement Learning | CodeCode Available | 0 |
| Hindsight Foresight Relabeling for Meta-Reinforcement Learning | Sep 18, 2021 | Meta Reinforcement Learningreinforcement-learning | CodeCode Available | 0 |
| Hierarchical Meta Reinforcement Learning for Multi-Task Environments | Jan 1, 2021 | Deep Reinforcement LearningHierarchical Reinforcement Learning | CodeCode Available | 0 |
| Decoupling Meta-Reinforcement Learning with Gaussian Task Contexts and Skills | Dec 11, 2023 | continuous-controlContinuous Control | CodeCode Available | 0 |
| Meta-Learning of Structured Task Distributions in Humans and Machines | Oct 5, 2020 | Meta-LearningMeta Reinforcement Learning | CodeCode Available | 0 |
| Using Natural Language and Program Abstractions to Instill Human Inductive Biases in Machines | May 23, 2022 | Meta-LearningMeta Reinforcement Learning | CodeCode Available | 0 |
| Learning to reinforcement learn | Nov 17, 2016 | Deep Reinforcement LearningMeta-Learning | CodeCode Available | 0 |
