AI Planning and Reinforcement Learning are used to learn robotic programs.
| Paper Title | Conference | Year | Link |
|---|---|---|---|
| AI Planning Annotation for Sample Efficient Reinforcement Learning | arXiv | 2022 | link |
| AI Planning Annotation in Reinforcement Learning: Options and Beyond | ICAPS | 2021 | link |
| Symbolic Plans as High-Level Instructions for Reinforcement Learning | ICAPS | 2020 | link |
| PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making | IJCAI | 2018 | link |
Hierarchical Reinforcement Learning (HRL) methods attempt to address this scalability issue by learning action selection policies at multiple levels of temporal abstraction.
| Paper Title | Conference | Year | Link |
|---|---|---|---|
| Learning Representations in Model-Free Hierarchical Reinforcement Learning | AAAI | 2019 | link |
| Data-efficient hierarchical reinforcement learning | NIPS | 2018 | link |
| Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation | NIPS | 2016 | link |