KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human
Suboptimal Knowledge

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KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge

18 February 2020

Jianye Hao

Yan Zheng

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Papers citing "KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge"

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Title
Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation Yuhuai Wu Elman Mansimov Shun Liao Roger C. Grosse Jimmy Ba OffRL 61 630 0 17 Aug 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 544 19,296 0 20 Jul 2017
Deep Q-learning from Demonstrations Todd Hester Matej Vecerík Olivier Pietquin Marc Lanctot Tom Schaul ... Gabriel Dulac-Arnold Ian Osband J. Agapiou Joel Z Leibo A. Gruslys OffRL 70 156 0 12 Apr 2017
HyperNetworks David R Ha Andrew M. Dai Quoc V. Le 170 1,633 0 27 Sep 2016
Generative Adversarial Imitation Learning Jonathan Ho Stefano Ermon GAN 159 3,125 0 10 Jun 2016
Harnessing Deep Neural Networks with Logic Rules Zhiting Hu Xuezhe Ma Zhengzhong Liu Eduard H. Hovy Eric Xing AI4CE NAI 90 614 0 21 Mar 2016
High-Dimensional Continuous Control Using Generalized Advantage Estimation John Schulman Philipp Moritz Sergey Levine Michael I. Jordan Pieter Abbeel OffRL 129 3,439 0 08 Jun 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 281 6,801 0 19 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,364 0 22 Dec 2014
Natural Language Processing (almost) from Scratch R. Collobert Jason Weston Léon Bottou Michael Karlen Koray Kavukcuoglu Pavel P. Kuksa 203 7,729 0 02 Mar 2011