| Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning | Oct 2, 2020 | Meta-LearningMeta Reinforcement Learning | CodeCode Available | 1 | 5 |
| Learning Associative Inference Using Fast Weight Memory | Nov 16, 2020 | Language ModellingMeta Reinforcement Learning | CodeCode Available | 1 | 5 |
| Hypernetworks in Meta-Reinforcement Learning | Oct 20, 2022 | Meta Reinforcement Learningreinforcement-learning | CodeCode Available | 1 | 5 |
| Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning | Oct 9, 2022 | Decision MakingMeta Reinforcement Learning | CodeCode Available | 1 | 5 |
| Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation | Nov 20, 2022 | Meta Reinforcement Learningreinforcement-learning | CodeCode Available | 1 | 5 |
| Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning | Mar 30, 2018 | continuous-controlContinuous Control | CodeCode Available | 1 | 5 |
| Context Shift Reduction for Offline Meta-Reinforcement Learning | Nov 7, 2023 | Meta Reinforcement Learningreinforcement-learning | CodeCode Available | 1 | 5 |
| Diversity is All You Need: Learning Skills without a Reward Function | Feb 16, 2018 | AllDiversity | CodeCode Available | 1 | 5 |
| Procedural generation of meta-reinforcement learning tasks | Feb 11, 2023 | Meta-LearningMeta Reinforcement Learning | CodeCode Available | 1 | 5 |
| MAMBA: an Effective World Model Approach for Meta-Reinforcement Learning | Mar 14, 2024 | Efficient ExplorationMamba | CodeCode Available | 1 | 5 |
