2 papers
cs.LG2020
Trust the Model When It Is Confident: Masked Model-based Actor-Critic
Feiyang Pan, Jia He, Dandan Tu +1
It is a popular belief that model-based Reinforcement Learning (RL) is more sample efficient than model-free RL, but in practice, it is not always true due to overweighed model err…
cs.LG2019
Efficient and Adaptive Kernelization for Nonlinear Max-margin Multi-view Learning
Changying Du, Jia He, Changde Du +3
Existing multi-view learning methods based on kernel function either require the user to select and tune a single predefined kernel or have to compute and store many Gram matrices…