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Yinlam Chow

Yinlam Chow

Alumni · now at Google DeepMind

Yinlam Chow earned his Ph.D. in Computational and Mathematical engineering from Stanford University in 2017. Before that, he received a B.Eng. in Mechanical Engineering from the University of Hong Kong in 2009 and an MSE in Aerospace Engineering from Purdue University in 2011.

Publications

10 publications · full lab bibliography

2019
  1. J. Lacotte, M. Ghavamzadeh, Y. Chow, and M. Pavone, “Risk-Sensitive Generative Adversarial Imitation Learning,” Int. Conf. on Artificial Intelligence and Statistics, 2019.
2018
  1. S. Singh, Y. L. Chow, A. Majumdar, and M. Pavone, “A Framework for Time-Consistent, Risk-Sensitive Model Predictive Control: Theory and Algorithms,” IEEE Transactions on Automatic Control, vol. 64, no. 7, pp. 2905--2912, 2018.
  2. Y. Chow, M. Ghavamzadeh, L. Janson, and M. Pavone, “Risk-Constrained Reinforcement Learning with Percentile Risk Criteria,” Journal of Machine Learning Research, vol. 18, no. 167, pp. 1--51, 2018.
2017
  1. Y. Chow, “Risk-Sensitive and Data-Driven Sequential Decision Making,” Ph.D. dissertation, Stanford University, Dept. of Aeronautics and Astronautics, 2017.
2016
  1. S. Carpin, Y. Chow, and M. Pavone, “Risk Aversion in Finite Markov Decision Processes Using Total Cost Criteria and Average Value at Risk,” Proc. IEEE Conf. on Robotics and Automation, 2016.
2015
  1. Y. Chow, A. Tamar, S. Mannor, and M. Pavone, “Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach,” Conf. on Neural Information Processing Systems, 2015.
2014
  1. Y. Chow and M. Pavone, “A Framework for Time-Consistent, Risk-Averse Model Predictive Control: Theory and Algorithms,” American Control Conference, 2014.
  2. Y. Chow, M. Pavone, B. M. Sadler, and S. Carpin, “Trading Safety Versus Performance: Rapid Deployment of Robotic Swarms with Robust Performance Constraints,” ASME Journal of Dynamic Systems, Measurement, and Control, vol. 137, no. 3, pp. 031005.1--031005.11, 2014.
2013
  1. Y. Chow and M. Pavone, “A Uniform-Grid Discretization Algorithm for Stochastic Optimal Control with Risk Constraints,” Proc. IEEE Conf. on Decision and Control, 2013.
  2. Y. Chow and M. Pavone, “Stochastic Optimal Control with Dynamic, Time-Consistent Risk Constraints,” American Control Conference, 2013.