Accelerating Quadratic Optimization with Reinforcement Learning

22 July 2021

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Papers citing "Accelerating Quadratic Optimization with Reinforcement Learning"

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Title
One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control Wenlong Huang Igor Mordatch Deepak Pathak 109 178 0 09 Jul 2020
GOMP: Grasp-Optimized Motion Planning for Bin Picking Jeffrey Ichnowski Michael Danielczuk Jingyi Xu V. Satish Ken Goldberg 108 39 0 05 Mar 2020
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems Kaixuan Wei Angelica Aviles-Rivero Jingwei Liang Ying Fu Carola-Bibiane Schönlieb Hua Huang 70 105 0 22 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 517 42,449 0 03 Dec 2019
Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization Paras Jain Ajay Jain Aniruddha Nrusimha A. Gholami Pieter Abbeel Kurt Keutzer Ion Stoica Joseph E. Gonzalez 62 193 0 07 Oct 2019
Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon Yoshua Bengio Andrea Lodi Antoine Prouvost 153 1,389 0 15 Nov 2018
Understanding and correcting pathologies in the training of learned optimizers Luke Metz Niru Maheswaranathan Jeremy Nixon C. Freeman Jascha Narain Sohl-Dickstein ODL 76 147 0 24 Oct 2018
Learning to Perform Local Rewriting for Combinatorial Optimization Xinyun Chen Yuandong Tian NAI OffRL 114 348 0 30 Sep 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 761 3,121 0 04 Jun 2018
Learning to Branch Maria-Florina Balcan Travis Dick Tuomas Sandholm Ellen Vitercik 70 174 0 27 Mar 2018
On First-Order Meta-Learning Algorithms Alex Nichol Joshua Achiam John Schulman 230 2,232 0 08 Mar 2018
Addressing Function Approximation Error in Actor-Critic Methods Scott Fujimoto H. V. Hoof David Meger OffRL 178 5,187 0 26 Feb 2018
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures L. Espeholt Hubert Soyer Rémi Munos Karen Simonyan Volodymyr Mnih ... Vlad Firoiu Tim Harley Iain Dunning Shane Legg Koray Kavukcuoglu 220 1,600 0 05 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 311 8,352 0 04 Jan 2018
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 499 19,065 0 20 Jul 2017
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments Ryan J. Lowe Yi Wu Aviv Tamar J. Harb Pieter Abbeel Igor Mordatch 140 4,485 0 07 Jun 2017
Learning Combinatorial Optimization Algorithms over Graphs H. Dai Elias Boutros Khalil Yuyu Zhang B. Dilkina Le Song 111 1,469 0 05 Apr 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 823 11,909 0 09 Mar 2017
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 320 13,248 0 09 Sep 2015
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 127 12,231 0 19 Dec 2013