Memory-efficient Reinforcement Learning with Knowledge Consolidation
By Qingfeng Lan, Yangchen Pan, Jun Luo, A. Mahmood. 2022
4 citations recorded by the source corpus.
Subfields: Artificial Intelligence
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Matthew Riemer
- Irina Rish
- Khimya Khetarpal
- Doina Precup
- Sergey Levine
- Joelle Pineau
- Eric Eaton
- Chelsea Finn
Citations in the corpus
- Towards Continual Reinforcement Learning: A Review and Perspectives (2020, background): “, 2015) from past tasks when learning a new task to prevent catastrophic forgetting as in (Rusu et al., 2015; Li and Hoiem, 2016; Riemer et al., 2016; Espeholt et al., 2018; Schwarz et al., 2018; Berseth et al., 2018; Kaplanis et al., 2019; Traoré et al., 2019; Tirumala et al., 2019; Igl et al., 202”