RT @whizznihil: RL + DDM #Rメモ https://t.co/gH9eehUGqX
RL + DDM #Rメモ https://t.co/gH9eehUGqX
@bruno_nicenboim Without taking anything from what looks like a nice paper, I don't think hierarchical RL models are new or controversial. See e.g. here https://t.co/vTwgbyYlyw, or here https://t.co/xjjKvZnpGb.
@iancballard great description of the identifiability issues! can also be useful to combine RL with DDM: https://t.co/rhNLWVGBLi && https://t.co/MkItxryYkx
The drift diffusion model as the choice rule in reinforcement learning https://t.co/8ytj29OPf7
The drift diffusion model as the choice rule in reinforcement learning https://t.co/rW0C4fBDYx
Integrating computational models of learning and decision making: reinforcement learning + drift diffusion https://t.co/T7x3LY44XT
RT @joealey: The drift diffusion model as the choice rule in reinforcement learning https://t.co/0OJSxSBtDq
The drift diffusion model as the choice rule in reinforcement learning https://t.co/UVVmgZHUZc
RT @joealey: The drift diffusion model as the choice rule in reinforcement learning https://t.co/0OJSxSBtDq
RT @joealey: The drift diffusion model as the choice rule in reinforcement learning https://t.co/0OJSxSBtDq
RT @joealey: The drift diffusion model as the choice rule in reinforcement learning https://t.co/0OJSxSBtDq
RT @joealey: The drift diffusion model as the choice rule in reinforcement learning https://t.co/0OJSxSBtDq
The drift diffusion model as the choice rule in reinforcement learning https://t.co/0OJSxSBtDq