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Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards

12 May 2019

Papers citing "Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards"

34 / 34 papers shown

Title
Fast Task Inference with Variational Intrinsic Successor Features Steven Hansen Will Dabney André Barreto T. Wiele David Warde-Farley Volodymyr Mnih BDL 76 152 0 12 Jun 2019
Unsupervised Control Through Non-Parametric Discriminative Rewards David Warde-Farley T. Wiele Tejas D. Kulkarni Catalin Ionescu Steven Hansen Volodymyr Mnih DRL OffRL SSL 86 178 0 28 Nov 2018
Diversity-Driven Extensible Hierarchical Reinforcement Learning Yuhang Song Jianyi Wang Thomas Lukasiewicz Zhenghua Xu Mai Xu 42 18 0 10 Nov 2018
Contingency-Aware Exploration in Reinforcement Learning Jongwook Choi Yijie Guo Marcin Moczulski Junhyuk Oh Neal Wu Mohammad Norouzi Honglak Lee 65 73 0 05 Nov 2018
Exploration by Random Network Distillation Yuri Burda Harrison Edwards Amos Storkey Oleg Klimov 159 1,342 0 30 Oct 2018
Large-Scale Study of Curiosity-Driven Learning Yuri Burda Harrison Edwards Deepak Pathak Amos Storkey Trevor Darrell Alexei A. Efros LRM 72 706 0 13 Aug 2018
Curiosity Driven Exploration of Learned Disentangled Goal Spaces A. Laversanne-Finot Alexandre Péré Pierre-Yves Oudeyer DRL 71 88 0 04 Jul 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 766 3,129 0 04 Jun 2018
Generalisation of structural knowledge in the hippocampal-entorhinal system James C. R. Whittington Timothy H. Muller Shirley Mark Caswell Barry Timothy Edward John Behrens 98 53 0 23 May 2018
Unsupervised Video Object Segmentation for Deep Reinforcement Learning Vikrant Goel James Weng Pascal Poupart OCL 69 66 0 20 May 2018
World Models David R Ha Jürgen Schmidhuber SyDa 143 1,098 0 27 Mar 2018
Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions Sjoerd van Steenkiste Michael Chang Klaus Greff Jürgen Schmidhuber BDL OCL DRL 209 291 0 28 Feb 2018
Diversity is All You Need: Learning Skills without a Reward Function Benjamin Eysenbach Abhishek Gupta Julian Ibarz Sergey Levine 103 1,088 0 16 Feb 2018
Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum Learning Sébastien Forestier Rémy Portelas Yoan Mollard Pierre-Yves Oudeyer 86 188 0 07 Aug 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 529 19,237 0 20 Jul 2017
Count-Based Exploration in Feature Space for Reinforcement Learning Jarryd Martin S. N. Sasikumar Tom Everitt Marcus Hutter 68 124 0 25 Jun 2017
Visual Interaction Networks Nicholas Watters Andrea Tacchetti T. Weber Razvan Pascanu Peter W. Battaglia Daniel Zoran PINN 3DH 96 279 0 05 Jun 2017
A simple neural network module for relational reasoning Adam Santoro David Raposo David Barrett Mateusz Malinowski Razvan Pascanu Peter W. Battaglia Timothy Lillicrap GNN NAI 189 1,615 0 05 Jun 2017
Curiosity-driven Exploration by Self-supervised Prediction Deepak Pathak Pulkit Agrawal Alexei A. Efros Trevor Darrell LRM SSL 113 2,449 0 15 May 2017
Stochastic Neural Networks for Hierarchical Reinforcement Learning Carlos Florensa Yan Duan Pieter Abbeel BDL 92 361 0 10 Apr 2017
Surprise-Based Intrinsic Motivation for Deep Reinforcement Learning Joshua Achiam S. Shankar Sastry 71 238 0 06 Mar 2017
Count-Based Exploration with Neural Density Models Georg Ostrovski Marc G. Bellemare Aaron van den Oord Rémi Munos 86 625 0 03 Mar 2017
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 543 1,412 0 01 Dec 2016
Variational Intrinsic Control Karol Gregor Danilo Jimenez Rezende Daan Wierstra DRL OffRL 88 429 0 22 Nov 2016
Reinforcement Learning with Unsupervised Auxiliary Tasks Max Jaderberg Volodymyr Mnih Wojciech M. Czarnecki Tom Schaul Joel Z Leibo David Silver Koray Kavukcuoglu SSL 109 1,229 0 16 Nov 2016
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning Haoran Tang Rein Houthooft Davis Foote Adam Stooke Xi Chen Yan Duan John Schulman F. Turck Pieter Abbeel OffRL 106 775 0 15 Nov 2016
Unifying Count-Based Exploration and Intrinsic Motivation Marc G. Bellemare S. Srinivasan Georg Ostrovski Tom Schaul D. Saxton Rémi Munos 176 1,483 0 06 Jun 2016
Information Theoretically Aided Reinforcement Learning for Embodied Agents Guido Montúfar K. Zahedi Nihat Ay 45 10 0 31 May 2016
From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification André F. T. Martins Ramón Fernández Astudillo 184 726 0 05 Feb 2016
Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning S. Mohamed Danilo Jimenez Rezende DRL SSL 99 402 0 29 Sep 2015
Action-Conditional Video Prediction using Deep Networks in Atari Games Junhyuk Oh Xiaoxiao Guo Honglak Lee Richard L. Lewis Satinder Singh 106 854 0 31 Jul 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 463 43,328 0 11 Feb 2015
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention Ke Xu Jimmy Ba Ryan Kiros Kyunghyun Cho Aaron Courville Ruslan Salakhutdinov R. Zemel Yoshua Bengio DiffM 348 10,079 0 10 Feb 2015
Neural Machine Translation by Jointly Learning to Align and Translate Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio AIMat 575 27,325 0 01 Sep 2014