Neural Auto-Curricula

Neural Auto-Curricula

4 June 2021

Oliver Slumbers

Bo Liu

Stephen Marcus McAleer

Jun Wang

Papers citing "Neural Auto-Curricula"

17 / 17 papers shown

Title
Open-Ended Learning Leads to Generally Capable Agents Open-Ended Learning Team Adam Stooke Anuj Mahajan Catarina Barros Charlie Deck ... Nicolas Porcel Roberta Raileanu Steph Hughes-Fitt Valentin Dalibard Wojciech M. Czarnecki 87 189 0 27 Jul 2021
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning Dong-Ki Kim Miao Liu Matthew D Riemer Chuangchuang Sun Marwa Abdulhai Golnaz Habibi Sebastian Lopez-Cot Gerald Tesauro Jonathan P. How 46 56 0 31 Oct 2020
Online Meta-Critic Learning for Off-Policy Actor-Critic Methods Wei Zhou Yiying Li Yongxin Yang Huaimin Wang Timothy M. Hospedales OffRL 55 47 0 11 Mar 2020
What Can Learned Intrinsic Rewards Capture? Zeyu Zheng Junhyuk Oh Matteo Hessel Zhongwen Xu M. Kroiss H. V. Hasselt David Silver Satinder Singh 50 77 0 11 Dec 2019
Optimizing Millions of Hyperparameters by Implicit Differentiation Jonathan Lorraine Paul Vicol David Duvenaud DD 104 414 0 06 Nov 2019
Improving Generalization in Meta Reinforcement Learning using Learned Objectives Louis Kirsch Sjoerd van Steenkiste Jürgen Schmidhuber OffRL 69 119 0 09 Oct 2019
ES-MAML: Simple Hessian-Free Meta Learning Xingyou Song Wenbo Gao Yuxiang Yang K. Choromanski Aldo Pacchiano Yunhao Tang 101 118 0 25 Sep 2019
Meta-Learning with Implicit Gradients Aravind Rajeswaran Chelsea Finn Sham Kakade Sergey Levine 94 854 0 10 Sep 2019
ProMP: Proximal Meta-Policy Search Jonas Rothfuss Dennis Lee I. Clavera Tamim Asfour Pieter Abbeel 55 210 0 16 Oct 2018
Structured Evolution with Compact Architectures for Scalable Policy Optimization K. Choromanski Mark Rowland Vikas Sindhwani Richard Turner Adrian Weller 63 149 0 06 Apr 2018
Evolved Policy Gradients Rein Houthooft Richard Y. Chen Phillip Isola Bradly C. Stadie Filip Wolski Jonathan Ho Pieter Abbeel 81 227 0 13 Feb 2018
Value-Decomposition Networks For Cooperative Multi-Agent Learning P. Sunehag Guy Lever A. Gruslys Wojciech M. Czarnecki V. Zambaldi ... Marc Lanctot Nicolas Sonnerat Joel Z Leibo K. Tuyls T. Graepel 67 1,002 0 16 Jun 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 803 11,866 0 09 Mar 2017
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas Guibas 3DH 3DPC 3DV PINN 438 14,264 0 02 Dec 2016
Learning to reinforcement learn Jane X. Wang Z. Kurth-Nelson Dhruva Tirumala Hubert Soyer Joel Z Leibo Rémi Munos Charles Blundell D. Kumaran M. Botvinick OffRL 95 977 0 17 Nov 2016
RL $^2$ : Fast Reinforcement Learning via Slow Reinforcement Learning Yan Duan John Schulman Xi Chen Peter L. Bartlett Ilya Sutskever Pieter Abbeel OffRL 76 1,015 0 09 Nov 2016
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling Junyoung Chung Çağlar Gülçehre Kyunghyun Cho Yoshua Bengio 443 12,680 0 11 Dec 2014