Theodorou, Evangelos A.

8 publications

L4DC 2021 Adaptive Risk Sensitive Model Predictive Control with Stochastic Search Ziyi Wang, Oswin So, Keuntaek Lee, Evangelos A. Theodorou

L4DC 2021 Contraction L1-Adaptive Control Using Gaussian Processes Aditya Gahlawat, Arun Lakshmanan, Lin Song, Andrew Patterson, Zhuohuan Wu, Naira Hovakimyan, Evangelos A. Theodorou

CoRL 2019 Locally Weighted Regression Pseudo-Rehearsal for Adaptive Model Predictive Control Grady R. Williams, Brian Goldfain, Keuntaek Lee, Jason Gibson, James M. Rehg, Evangelos A. Theodorou

CoRL 2019 Perceptual Attention-Based Predictive Control Keuntaek Lee, Gabriel Nakajima An, Viacheslav Zakharov, Evangelos A. Theodorou

CoRL 2019 Variational Optimization Based Reinforcement Learning for Infinite Dimensional Stochastic Systems Ethan N. Evans, Marcus A. Periera, George I. Boutselis, Evangelos A. Theodorou

AISTATS 2018 A Stochastic Differential Equation Framework for Guiding Online User Activities in Closed Loop Yichen Wang, Evangelos A. Theodorou, Apurv Verma, Le Song

CoRL 2017 Aggressive Deep Driving: Combining Convolutional Neural Networks and Model Predictive Control Paul Drews, Grady Williams, Brian Goldfain, Evangelos A. Theodorou, James M. Rehg

ICML 2017 Prediction Under Uncertainty in Sparse Spectrum Gaussian Processes with Applications to Filtering and Control Yunpeng Pan, Xinyan Yan, Evangelos A. Theodorou, Byron Boots