papers
Publications (9)
cs.LG2018
Accelerating Imitation Learning with Predictive Models
Ching-An Cheng, Xinyan Yan, Evangelos A. Theodorou +1
cs.RO2019
Agile Autonomous Driving using End-to-End Deep Imitation Learning
Yunpeng Pan, Ching-An Cheng, Kamil Saigol +4
The paper introduces an end-to-end deep imitation learning system that enables high-speed off‑road autonomous driving using only low‑cost sensors, by training a neural network to m…
#autonomous driving#imitation learning#end-to-end control#off-road navigation
cs.LG2019
Predictor-Corrector Policy Optimization
Ching-An Cheng, Xinyan Yan, Nathan Ratliff +1
cs.LG2018
Convergence of Value Aggregation for Imitation Learning
Ching-An Cheng, Byron Boots
stat.ML2018
Variational Inference for Gaussian Process Models with Linear Complexity
Ching-An Cheng, Byron Boots
stat.ML2019
Orthogonally Decoupled Variational Gaussian Processes
Hugh Salimbeni, Ching-An Cheng, Byron Boots +1
cs.LG2018
Fast Policy Learning through Imitation and Reinforcement
Ching-An Cheng, Xinyan Yan, Nolan Wagener +1
cs.LG2019
Trajectory-wise Control Variates for Variance Reduction in Policy Gradient Methods
Ching-An Cheng, Xinyan Yan, Byron Boots
The paper proposes trajectory-wise control variates to more effectively reduce the variance of Monte Carlo gradient estimates in policy gradient reinforcement learning, showing the…
#policy gradient#variance reduction#control variates#trajectory-wise methods
cs.LG2019
Truncated Back-propagation for Bilevel Optimization
Amirreza Shaban, Ching-An Cheng, Nathan Hatch +1