A Distributional Code for Value in Dopamine-Based Reinforcement Learning¶
Dabney, W., Kurth-Nelson, Z., Uchida, N., Starkweather, C. K., Hassabis, D., Munos, R., & Botvinick, M. (2020). A Distributional Code for Value in Dopamine-Based Reinforcement Learning. Nature, 577, 671-675.
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Reinforcement
- From machine learning back to neuroscience, deep-RL successes have shaped recent accounts of basal-ganglia learning, the transfer running in both directions over the same structure.
This sourceShows deep-RL distributional value accounts shaping models of dopamine and basal-ganglia learning.
- From machine learning back to neuroscience, deep-RL successes have shaped recent accounts of basal-ganglia learning, the transfer running in both directions over the same structure.
Verification¶
This reference passed the adversarial substantiation pipeline: it was checked to exist and to support the claim it is attached to. See how references were verified.
Registry ID ref:8070d87e8c5c · see in the full table