| Neuro-symbolic Meta Reinforcement Learning for Trading | Jan 15, 2023 | Decision MakingMeta Reinforcement Learning | —Unverified | 0 |
| Neurosymbolic Meta-Reinforcement Lookahead Learning Achieves Safe Self-Driving in Non-Stationary Environments | Sep 5, 2023 | Meta Reinforcement Learning | —Unverified | 0 |
| Off-Policy Meta-Reinforcement Learning Based on Feature Embedding Spaces | Jan 6, 2021 | Meta Reinforcement Learningreinforcement-learning | —Unverified | 0 |
| Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Gradient Estimators for Reinforcement Learning | Dec 1, 2019 | continuous-controlContinuous Control | CodeCode Available | 0 |
| Concurrent Meta Reinforcement Learning | Mar 7, 2019 | Efficient ExplorationMeta-Learning | CodeCode Available | 0 |
| 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 |
| Modeling and Optimization Trade-off in Meta-learning | Oct 24, 2020 | Bilevel OptimizationMeta-Learning | CodeCode Available | 0 |
| Meta Policy Learning for Cold-Start Conversational Recommendation | May 24, 2022 | Conversational RecommendationMeta Reinforcement Learning | CodeCode Available | 0 |
| Meta-Q-Learning | Sep 30, 2019 | continuous-controlContinuous Control | CodeCode Available | 0 |
| On the Convergence Theory of Debiased Model-Agnostic Meta-Reinforcement Learning | Feb 12, 2020 | Meta-LearningMeta Reinforcement Learning | CodeCode Available | 0 |
| Meta reinforcement learning as task inference | May 15, 2019 | continuous-controlContinuous Control | CodeCode Available | 0 |
| A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud | May 31, 2022 | CPUDecision Making | CodeCode Available | 0 |
| Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations | Dec 26, 2023 | Contrastive LearningDecoder | CodeCode Available | 0 |
| Meta-Reinforcement Learning by Tracking Task Non-stationarity | May 18, 2021 | Meta Reinforcement Learningreinforcement-learning | CodeCode Available | 0 |
| Some Considerations on Learning to Explore via Meta-Reinforcement Learning | Mar 3, 2018 | Meta Reinforcement Learningreinforcement-learning | CodeCode Available | 0 |
| Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning | Feb 4, 2025 | Meta Reinforcement Learning | CodeCode Available | 0 |