Sample-Efficient Reinforcement Learning of Robot Control Policies in the Real World
abstract: The goal of reinforcement learning is to enable systems to autonomously solve tasks in the real world, even in the absence of prior data. To succeed in such situations, reinforcement learning algorithms collect new experience through interactions with the environment to further the learnin...
| Other Authors: | |
|---|---|
| Format: | Doctoral Thesis |
| Language: | English |
| Published: |
2019
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/2286/R.I.55501 |