After 2014 and the success of DQN, there was a large shift towards Deep RL which made use of Neural Networks (NNs) for function approximation. This use of NNs brought about new challenges unique to the deep learning setting. As such there is a clear divide in the surveys of papers produced before and after this period.
- Shallow Learning
- The papers contained in this repo frun from the years 2000 to 2012. The shallow learning surveys primarily focus on...
- Deep Learning
- The papers contained in this repo frun from the years 2015 to 2022. The deep learning surveys primarily focus on...