most citedHindsight Value Function for Variance Reduction in Stochastic Dynamic Environment

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2021★ 2 cited

Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment

Jiaming Guo, Rui Zhang, Xishan Zhang +6

Policy gradient methods are appealing in deep reinforcement learning but suffer from high variance of gradient estimate. To reduce the variance, the state value function is applied…

cs.IR2021

Dual Adversarial Variational Embedding for Robust Recommendation

Qiaomin Yi, Ning Yang, Philip S. Yu

Robust recommendation aims at capturing true preference of users from noisy data, for which there are two lines of methods have been proposed. One is based on noise injection, and…