3 papers
cs.LG2020
Improving Layer-wise Adaptive Rate Methods using Trust Ratio Clipping
Jeffrey Fong, Siwei Chen, Kaiqi Chen
Training neural networks with large batch is of fundamental significance to deep learning. Large batch training remarkably reduces the amount of training time but has difficulties…
cs.LG2020
Contrastive Variational Reinforcement Learning for Complex Observations
Xiao Ma, Siwei Chen, David Hsu +1
Deep reinforcement learning (DRL) has achieved significant success in various robot tasks: manipulation, navigation, etc. However, complex visual observations in natural environmen…
cs.LG2020
DinerDash Gym: A Benchmark for Policy Learning in High-Dimensional Action Space
Siwei Chen, Xiao Ma, David Hsu
It has been arduous to assess the progress of a policy learning algorithm in the domain of hierarchical task with high dimensional action space due to the lack of a commonly accept…