关于Noisy Networks for Exploration dqn的原始论文，适合初学者对深度强化学习Noisy Networks for Exploration dqn的认识和了解Published as a conference paper at ICLR 2018
T is assessed by the action-value function Q defined as
Q"(.a)=配
∑
rR(t, at)
(1)
where E is the expectation ove
