Discrete Approximate Information States in Partially Observable Environments
The notion of approximate information states (AIS) was introduced in [31] as a methodology for learning task-relevant state representations for control in partially observable systems. They proposed particular learning objectives which attempt to reconstruct the cost and next state and provide a bou...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Published: |
Massachusetts Institute of Technology
2023
|
| Online Access: | https://hdl.handle.net/1721.1/150192 |