activity
20162021
most citedBenchmarking Model-Based Reinforcement Learning

239 citations · 286 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2021

Learning to Elect

Cem Anil, Xuchan Bao

Voting systems have a wide range of applications including recommender systems, web search, product design and elections. Limited by the lack of general-purpose analytical tools, i…

math.OC2020★ 12 cited

A Unified Analysis of First-Order Methods for Smooth Games via Integral Quadratic Constraints

Guodong Zhang, Xuchan Bao, Laurent Lessard +1

The theory of integral quadratic constraints (IQCs) allows the certification of exponential convergence of interconnected systems containing nonlinear or uncertain elements. In thi…

cs.LG2020★ 11 cited

Regularized linear autoencoders recover the principal components, eventually

Xuchan Bao, James Lucas, Sushant Sachdeva +1

Our understanding of learning input-output relationships with neural nets has improved rapidly in recent years, but little is known about the convergence of the underlying represen…

cs.LG2019★ 239 cited

Benchmarking Model-Based Reinforcement Learning

Tingwu Wang, Xuchan Bao, Ignasi Clavera +7

Model-based reinforcement learning (MBRL) is widely seen as having the potential to be significantly more sample efficient than model-free RL. However, research in model-based RL h…

cs.SD2018★ 17 cited

TimbreTron: A WaveNet(CycleGAN(CQT(Audio))) Pipeline for Musical Timbre Transfer

Sicong Huang, Qiyang Li, Cem Anil +3

In this work, we address the problem of musical timbre transfer, where the goal is to manipulate the timbre of a sound sample from one instrument to match another instrument while…

cs.RO2016★ 7 cited

Deep Neural Networks for Improved, Impromptu Trajectory Tracking of Quadrotors

Qiyang Li, Jingxing Qian, Zining Zhu +3

Trajectory tracking control for quadrotors is important for applications ranging from surveying and inspection, to film making. However, designing and tuning classical controllers,…