Monte Carlo Tree Search With Iteratively Refining State Abstractions

By Samuel Sokota, Caleb Ho, Zaheen Farraz Ahmad, J. Kolter. 2021

22 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Khimya Khetarpal
2. Matthew Riemer
3. Irina Rish
4. Doina Precup
5. Sergey Levine
6. A. Mahmood
7. Joelle Pineau
8. Richard S. Sutton

Citations in the corpus

• Towards Continual Reinforcement Learning: A Review and Perspectives (2020, background): “Additionally, state abstractions could also be formed on the basis of value equivalence (Grimm et al., 2020; Sokota et al., 2021; Cui et al., 2021) or for improved planning (Curtis et al.”