arXiv
Open Access
2020
Reinforcement learning with human advice: a survey
Anis Najar
Mohamed Chetouani
Abstrak
In this paper, we provide an overview of the existing methods for integrating human advice into a Reinforcement Learning process. We first propose a taxonomy of the different forms of advice that can be provided to a learning agent. We then describe the methods that can be used for interpreting advice when its meaning is not determined beforehand. Finally, we review different approaches for integrating advice into the learning process.
Topik & Kata Kunci
Penulis (2)
A
Anis Najar
M
Mohamed Chetouani
Akses Cepat
Informasi Jurnal
- Tahun Terbit
- 2020
- Bahasa
- en
- Sumber Database
- arXiv
- Akses
- Open Access ✓