Task-based End-to-end Model Learning in Stochastic Optimization

Scenarios and policy aggregation in optimization under uncertainty

R Tyrrell Rockafellar and Roger J-B Wets · 1991

Earlier work this paper cites.

Stochastic models of manufacturing systems , volume 4

John A Buzacott and J George Shanthikumar · 1993

Earlier work this paper cites.

Sequential quadratic programming

Paul T Boggs and Jon W Tolle · 1995

Earlier work this paper cites.

Using a financial training criterion rather than a prediction criterion

Yoshua Bengio · 1997

Earlier work this paper cites.

Stochastic programming models in energy

Stein W Wallace and Stein-Erik Fleten · 2003

Earlier work this paper cites.

Off-road obstacle avoidance through end-to-end learning

Yann LeCun, Urs Muller, Jan Ben, Eric Cosatto, and Beat Flepp · 2005

Earlier work this paper cites.

Stochastic optimization models in finance , volume 1

William T Ziemba and Raymond G Vickson · 2006

Earlier work this paper cites.

The empirical behavior of sampling methods for stochastic programming

Jeff Linderoth, Alexander Shapiro, and Stephen Wright · 2006

Earlier work this paper cites.

Cognitive networks: adaptation and learning to achieve end-to-end performance objectives

Ryan W Thomas, Daniel H Friend, Luiz A Dasilva, and Allen B Mackenzie · 2006

Earlier work this paper cites.

Local search for multiobjective function optimization: pareto descent method

Ken Harada, Jun Sakuma, and Shigenobu Kobayashi · 2006

Earlier work this paper cites.

A tutorial on stochastic programming

Alexander Shapiro and Andy Philpott · 2007

Earlier work this paper cites.

Direct loss minimization for structured prediction

Tamir Hazan, Joseph Keshet, and David A McAllester · 2010

Cited alongside, same era.

End-to-end scene text recognition

Kai Wang, Boris Babenko, and Serge Belongie · 2011

Cited alongside, same era.

Empirical risk minimization of graphical model parameters given approximate inference, decoding, and model structure

Veselin Stoyanov, Alexander Ropson, and Jason Eisner · 2011

Cited alongside, same era.

End-to-end text recognition with convolutional neural networks

Tao Wang, David J Wu, Adam Coates, and Andrew Y Ng · 2012

Cited alongside, same era.

Towards end-to-end speech recognition with recurrent neural networks

Alex Graves and Navdeep Jaitly · 2014

Cited alongside, same era.

Multi-objective reinforcement learning using sets of pareto dominating policies

Kristof Van Moffaert and Ann Nowé · 2014

End-to-end training of deep visuomotor policies

Sergey Levine, Chelsea Finn, Trevor Darrell, and Pieter Abbeel · 2016

Later among the works it cites.

Value iteration networks

Aviv Tamar, Sergey Levine, Pieter Abbeel, YI WU, and Garrett Thomas · 2016

Later among the works it cites.

Multi-objective deep reinforcement learning

Original

Hossam Mossalam, Yannis M Assael, Diederik M Roijers, and Shimon Whiteson · 2016

Later among the works it cites.

Training deep neural networks via direct loss minimization

Yang Song, Alexander G Schwing, Richard S Zemel, and Raquel Urtasun · 2016

Later among the works it cites.

Reinforcement learning with unsupervised auxiliary tasks

Original

Max Jaderberg, Volodymyr Mnih, Wojciech Marian Czarnecki, Tom Schaul, Joel Z Leibo, David Silver, and Koray Kavukcuoglu · 2016

Later among the works it cites.