Google
Google Scholar
MS Academic
CiteSeerX
CORE
Semantic ScholarYinlam Chow
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2010 – today
- 2019
[j5]Sumeet Singh
, Yinlam Chow, Anirudha Majumdar, Marco Pavone:
A Framework for Time-Consistent, Risk-Sensitive Model Predictive Control: Theory and Algorithms. IEEE Trans. Automat. Contr. 64(7): 2905-2912 (2019)- [c20]Jonathan Lacotte, Mohammad Ghavamzadeh, Yinlam Chow, Marco Pavone:
Risk-Sensitive Generative Adversarial Imitation Learning. AISTATS 2019: 2154-2163 - [i16]Yinlam Chow, Ofir Nachum, Aleksandra Faust, Mohammad Ghavamzadeh, Edgar A. Duéñez-Guzmán:
Lyapunov-based Safe Policy Optimization for Continuous Control. CoRR abs/1901.10031 (2019) - [i15]Ofir Nachum, Yinlam Chow, Bo Dai, Lihong Li:
DualDICE: Behavior-Agnostic Estimation of Discounted Stationary Distribution Corrections. CoRR abs/1906.04733 (2019) - [i14]Nir Levine, Yinlam Chow, Rui Shu, Ang Li, Mohammad Ghavamzadeh, Hung Bui:
Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control. CoRR abs/1909.01506 (2019) - [i13]Moonkyung Ryu, Yinlam Chow, Ross Anderson, Christian Tjandraatmadja, Craig Boutilier:
CAQL: Continuous Action Q-Learning. CoRR abs/1909.12397 (2019) - 2018
- [c19]Aviv Tamar, Khashayar Rohanimanesh, Yinlam Chow, Chris Vigorito, Ben Goodrich, Michael Kahane, Derik Pridmore:
Imitation Learning from Visual Data with Multiple Intentions. ICLR (Poster) 2018 - [c18]Yinlam Chow, Ofir Nachum, Mohammad Ghavamzadeh:
Path Consistency Learning in Tsallis Entropy Regularized MDPs. ICML 2018: 978-987 - [c17]Mehrdad Farajtabar, Yinlam Chow, Mohammad Ghavamzadeh:
More Robust Doubly Robust Off-policy Evaluation. ICML 2018: 1446-1455 - [c16]Tengyang Xie, Bo Liu, Yangyang Xu, Mohammad Ghavamzadeh, Yinlam Chow, Daoming Lyu, Daesub Yoon:
A Block Coordinate Ascent Algorithm for Mean-Variance Optimization. NeurIPS 2018: 1073-1083 - [c15]Yinlam Chow, Ofir Nachum, Edgar A. Duéñez-Guzmán, Mohammad Ghavamzadeh:
A Lyapunov-based Approach to Safe Reinforcement Learning. NeurIPS 2018: 8103-8112 - [i12]Mehrdad Farajtabar, Yinlam Chow, Mohammad Ghavamzadeh:
More Robust Doubly Robust Off-policy Evaluation. CoRR abs/1802.03493 (2018) - [i11]Ofir Nachum, Yinlam Chow, Mohammad Ghavamzadeh:
Path Consistency Learning in Tsallis Entropy Regularized MDPs. CoRR abs/1802.03501 (2018) - [i10]Yinlam Chow, Ofir Nachum, Edgar A. Duéñez-Guzmán, Mohammad Ghavamzadeh:
A Lyapunov-based Approach to Safe Reinforcement Learning. CoRR abs/1805.07708 (2018) - [i9]Jonathan Lacotte, Yinlam Chow, Mohammad Ghavamzadeh, Marco Pavone:
Risk-Sensitive Generative Adversarial Imitation Learning. CoRR abs/1808.04468 (2018) - [i8]Bo Liu, Tengyang Xie, Yangyang Xu, Mohammad Ghavamzadeh, Yinlam Chow, Daoming Lyu, Daesub Yoon:
A Block Coordinate Ascent Algorithm for Mean-Variance Optimization. CoRR abs/1809.02292 (2018) - 2017
- [j4]Yinlam Chow, Mohammad Ghavamzadeh, Lucas Janson, Marco Pavone:
Risk-Constrained Reinforcement Learning with Percentile Risk Criteria. J. Mach. Learn. Res. 18: 167:1-167:51 (2017) - [j3]Jiyan Yang, Yin-Lam Chow, Christopher Ré, Michael W. Mahoney:
Weighted SGD for $\ell_p$ Regression with Randomized Preconditioning. J. Mach. Learn. Res. 18: 211:1-211:43 (2017) - [j2]Aviv Tamar, Yinlam Chow, Mohammad Ghavamzadeh, Shie Mannor:
Sequential Decision Making With Coherent Risk. IEEE Trans. Automat. Contr. 62(7): 3323-3338 (2017) - [c14]Alan Malek, Sumeet Katariya, Yinlam Chow, Mohammad Ghavamzadeh:
Sequential Multiple Hypothesis Testing with Type I Error Control. AISTATS 2017: 1468-1476 - [i7]Yin-Lam Chow, Sumeet Singh, Anirudha Majumdar, Marco Pavone:
A Framework for Time-Consistent, Risk-Averse Model Predictive Control: Theory and Algorithms. CoRR abs/1703.01029 (2017) - 2016
- [j1]Junjie Qin, Yinlam Chow, Jiyan Yang, Ram Rajagopal:
Distributed Online Modified Greedy Algorithm for Networked Storage Operation Under Uncertainty. IEEE Trans. Smart Grid 7(2): 1106-1118 (2016) - [c13]Stefano Carpin, Yinlam Chow, Marco Pavone:
Risk aversion in finite Markov Decision Processes using total cost criteria and average value at risk. ICRA 2016: 335-342 - [c12]Mohammad Ghavamzadeh, Marek Petrik, Yinlam Chow:
Safe Policy Improvement by Minimizing Robust Baseline Regret. NIPS 2016: 2298-2306 - [c11]Jiyan Yang, Yinlam Chow, Christopher Ré, Michael W. Mahoney:
Weighted SGD for ℓp Regression with Randomized Preconditioning. SODA 2016: 558-569 - 2015
- [c10]Yinlam Chow, Jia Yuan Yu:
Real-time Bidding based Vehicle Sharing. AAMAS 2015: 1829-1830 - [c9]Aviv Tamar, Yinlam Chow, Mohammad Ghavamzadeh, Shie Mannor:
Policy Gradient for Coherent Risk Measures. NIPS 2015: 1468-1476 - [c8]Yinlam Chow, Aviv Tamar, Shie Mannor, Marco Pavone:
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach. NIPS 2015: 1522-1530 - [i6]Aviv Tamar, Yinlam Chow, Mohammad Ghavamzadeh, Shie Mannor:
Policy Gradient for Coherent Risk Measures. CoRR abs/1502.03919 (2015) - [i5]Yinlam Chow, Aviv Tamar, Shie Mannor, Marco Pavone:
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach. CoRR abs/1506.02188 (2015) - [i4]Yinlam Chow, Jia Yuan Yu:
Real-time Bidding based Vehicle Sharing. CoRR abs/1509.08932 (2015) - [i3]Yinlam Chow, Marco Pavone, Brian M. Sadler, Stefano Carpin:
Trading Safety Versus Performance: Rapid Deployment of Robotic Swarms with Robust Performance Constraints. CoRR abs/1511.06982 (2015) - [i2]Yinlam Chow, Mohammad Ghavamzadeh, Lucas Janson, Marco Pavone:
Risk-Constrained Reinforcement Learning with Percentile Risk Criteria. CoRR abs/1512.01629 (2015) - 2014
- [c7]Yin-Lam Chow, Marco Pavone:
A framework for time-consistent, risk-averse model predictive control: Theory and algorithms. ACC 2014: 4204-4211 - [c6]Yinlam Chow, Junjie Qin:
Weighted difference approximation of value functions for slow-discounting Markov Decision Processes. CDC 2014: 1085-1090 - [c5]Junjie Qin, Yinlam Chow, Jiyan Yang, Ram Rajagopal:
Modeling and online control of generalized energy storage networks. e-Energy 2014: 27-38 - [c4]Yinlam Chow, Mohammad Ghavamzadeh:
Algorithms for CVaR Optimization in MDPs. NIPS 2014: 3509-3517 - [i1]Yinlam Chow, Mohammad Ghavamzadeh:
Algorithms for CVaR Optimization in MDPs. CoRR abs/1406.3339 (2014) - 2013
- [c3]Yin-Lam Chow, Marco Pavone:
Stochastic optimal control with dynamic, time-consistent risk constraints. ACC 2013: 390-395 - [c2]Yin-Lam Chow, Marco Pavone:
A uniform-grid discretization algorithm for stochastic optimal control with risk constraints. CDC 2013: 2465-2470 - 2011
- [c1]Carlos Villegas, Yin-Lam Chow, Martin J. Corless, Robert Shorten, Wynita M. Griggs:
A decentralized control technique for vehicle chassis control. CDC-ECE 2011: 2535-2540
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
load content from web.archive.org
Privacy notice: By enabling the option above, your browser will contact the API of web.archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org and opencitations.net to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy.
Citation data
Add a list of citing articles from to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy.
Tweets on dblp homepage
Show tweets from 
on the dblp homepage.
Privacy notice: By enabling the option above, your browser will contact twitter.com and twimg.com to load tweets curated by our Twitter accout. At the same time, Twitter will persitently store several cookies with your web browser. While we did signal Twitter to not track our users by setting the "dnt" flag, we do not have any control over how Twitter uses your data. So please proceed with care and consider checking the Twitter privacy policy.
last updated on 2019-10-03 21:21 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
the dblp computer science bibliography is funded by:
