Reinforcement Learning and Causal Models

By Samuel J. Gershman. 2017

63 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience

How researchers see this paper

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

In Cognitive Neuroscience

1. Doina Precup
2. Irina Rish
3. Khimya Khetarpal
4. Matthew Riemer

Citations in the corpus

• Towards Continual Reinforcement Learning: A Review and Perspectives (2020, background): “…recent work has demonstrated that the successor representation model from the RL literature (Dayan, 1993) may provide a more accurate model to reflect the way humans balance their use of both model-based and model-free learning (Momennejad, Russek, Cheong, Botvinick, Daw, and Gershman, 2017).”