DeepFoldit -- A Deep Reinforcement Learning Neural Network Folding Proteins

28 October 2020

Papers citing "DeepFoldit -- A Deep Reinforcement Learning Neural Network Folding Proteins"

33 / 33 papers shown

Title
DeepProtein: Deep Learning Library and Benchmark for Protein Sequence Learning Jiaqing Xie Yue Zhao 121 1 0 02 Oct 2024
A Tutorial on Learning With Bayesian Networks David Heckerman CML 428 3,516 0 01 Feb 2020
Optimization of Molecules via Deep Reinforcement Learning Zhenpeng Zhou S. Kearnes Li Li R. Zare Patrick F. Riley AI4CE 94 540 0 19 Oct 2018
Supervised Reinforcement Learning with Recurrent Neural Network for Dynamic Treatment Recommendation Lu Wang Wei Zhang Xiaofeng He H. Zha 57 264 0 04 Jul 2018
Revisiting Small Batch Training for Deep Neural Networks Dominic Masters Carlo Luschi ODL 69 665 0 20 Apr 2018
Deep Reinforcement Learning for Dynamic Treatment Regimes on Medical Registry Data Y. Liu Ning Liu B. Logan Zhiyuan Xu Jian Tang Yanzhi Wang OffRL OOD 64 102 0 28 Jan 2018
Representation and Reinforcement Learning for Personalized Glycemic Control in Septic Patients W. Weng Mingwu Gao Ze He Susu Yan Peter Szolovits OffRL 51 59 0 02 Dec 2017
Deep Reinforcement Learning for Sepsis Treatment Aniruddh Raghu Matthieu Komorowski Imran Ahmed Leo Anthony Celi Peter Szolovits Marzyeh Ghassemi OffRL 57 172 0 27 Nov 2017
Teaching a Machine to Read Maps with Deep Reinforcement Learning Gino Brunner Oliver Richter Yuyi Wang Roger Wattenhofer 3DV 60 52 0 20 Nov 2017
StarCraft II: A New Challenge for Reinforcement Learning Oriol Vinyals T. Ewalds Sergey Bartunov Petko Georgiev A. Vezhnevets ... Anthony Brunasso David Lawrence Anders Ekermo J. Repp Rodney Tsing 78 874 0 16 Aug 2017
3DCNN-DQN-RNN: A Deep Reinforcement Learning Framework for Semantic Parsing of Large-scale 3D Point Clouds Fangyu Liu Shuaipeng Li Liqiang Zhang Chenghu Zhou Rongtian Ye Yuebin Wang Jiwen Lu 3DPC 59 108 0 21 Jul 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 517 19,065 0 20 Jul 2017
Deal or No Deal? End-to-End Learning for Negotiation Dialogues M. Lewis Denis Yarats Yann N. Dauphin Devi Parikh Dhruv Batra LLMAG 91 414 0 16 Jun 2017
Forward and Reverse Gradient-Based Hyperparameter Optimization Luca Franceschi Michele Donini P. Frasconi Massimiliano Pontil 213 417 0 06 Mar 2017
DeeperBind: Enhancing Prediction of Sequence Specificities of DNA Binding Proteins H. Hassanzadeh May D. Wang 44 127 0 17 Nov 2016
Removal of Batch Effects using Distribution-Matching Residual Networks Uri Shaham Kelly P. Stanton Jun Zhao Huamin Li K. Raddassi Ruth R. Montgomery Y. Kluger 53 162 0 13 Oct 2016
Ms. Pac-Man Versus Ghost Team CIG 2016 Competition P. R. Williams Diego Perez-Liebana Simon Lucas 32 30 0 08 Sep 2016
ViZDoom: A Doom-based AI Research Platform for Visual Reinforcement Learning Michal Kempka Marek Wydmuch Grzegorz Runc Jakub Toczek Wojciech Ja'skowski 72 697 0 06 May 2016
Deep Motif: Visualizing Genomic Sequence Classifications Jack Lanchantin Ritambhara Singh Zeming Lin Yanjun Qi 46 74 0 04 May 2016
Interactive Perception: Leveraging Action in Perception and Perception in Action Jeannette Bohg Karol Hausman Bharathwaj Sankaran Oliver Brock Danica Kragic S. Schaal Gaurav Sukhatme 127 305 0 13 Apr 2016
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization Lisha Li Kevin Jamieson Giulia DeSalvo Afshin Rostamizadeh Ameet Talwalkar 227 2,329 0 21 Mar 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 199 8,859 0 04 Feb 2016
DNA-Level Splice Junction Prediction using Deep Recurrent Neural Networks Byunghan Lee Taehoon Lee Byunggook Na Sungroh Yoon 42 43 0 16 Dec 2015
Prioritized Experience Replay Tom Schaul John Quan Ioannis Antonoglou David Silver OffRL 223 3,789 0 18 Nov 2015
Action-Conditional Video Prediction using Deep Networks in Atari Games Junhyuk Oh Xiaoxiao Guo Honglak Lee Richard L. Lewis Satinder Singh 103 853 0 31 Jul 2015
Incentivizing Exploration In Reinforcement Learning With Deep Predictive Models Bradly C. Stadie Sergey Levine Pieter Abbeel 92 505 0 03 Jul 2015
Escaping From Saddle Points --- Online Stochastic Gradient for Tensor Decomposition Rong Ge Furong Huang Chi Jin Yang Yuan 140 1,058 0 06 Mar 2015
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling Junyoung Chung Çağlar Gülçehre Kyunghyun Cho Yoshua Bengio 593 12,713 0 11 Dec 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 477 43,658 0 17 Sep 2014
Deep Learning in Neural Networks: An Overview Jürgen Schmidhuber HAI 246 16,361 0 30 Apr 2014
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
The Arcade Learning Environment: An Evaluation Platform for General Agents Marc G. Bellemare Yavar Naddaf J. Veness Michael Bowling 117 3,006 0 19 Jul 2012
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 359 7,942 0 13 Jun 2012