Title
Unsupervised Visuomotor Control through Distributional Planning Networks Tianhe Yu Gleb Shevchuk Dorsa Sadigh Chelsea Finn SSL OffRL 77 42 0 14 Feb 2019
Simultaneously Learning Vision and Feature-based Control Policies for Real-world Ball-in-a-Cup Devin Schwab Tobias Springenberg M. Martins Thomas Lampe Michael Neunert A. Abdolmaleki Tim Hertweck Roland Hafner F. Nori Martin Riedmiller 76 22 0 13 Feb 2019
ACTRCE: Augmenting Experience via Teacher's Advice For Multi-Goal Reinforcement Learning Harris Chan Yuhuai Wu J. Kiros Sanja Fidler Jimmy Ba 99 34 0 12 Feb 2019
Preferences Implicit in the State of the World Rohin Shah Dmitrii Krasheninnikov Jordan Alexander Pieter Abbeel Anca Dragan 82 55 0 12 Feb 2019
Artificial Intelligence for Prosthetics - challenge solutions L. Kidzinski Carmichael F. Ong Sharada Mohanty Jennifer Hicks Sean F. Carroll ... E. Tumer J. Watson M. Salathé Sergey Levine Scott L. Delp 55 42 0 07 Feb 2019
Competitive Experience Replay Hao Liu Alexander R. Trott R. Socher Caiming Xiong OffRL 119 53 0 01 Feb 2019
A Geometric Perspective on Optimal Representations for Reinforcement Learning Marc G. Bellemare Will Dabney Robert Dadashi Adrien Ali Taïga Pablo Samuel Castro Nicolas Le Roux Dale Schuurmans Tor Lattimore Clare Lyle 67 90 0 31 Jan 2019
Addressing Sample Complexity in Visual Tasks Using HER and Hallucinatory GANs Himanshu Sahni Toby Buckley Pieter Abbeel Ilya Kuzovkin 65 10 0 31 Jan 2019
Go-Explore: a New Approach for Hard-Exploration Problems Adrien Ecoffet Joost Huizinga Joel Lehman Kenneth O. Stanley Jeff Clune AI4TS 113 370 0 30 Jan 2019
CLIC: Curriculum Learning and Imitation for object Control in non-rewarding environments Pierre Fournier Olivier Sigaud Cédric Colas Mohamed Chetouani OffRL 87 26 0 28 Jan 2019
Modularization of End-to-End Learning: Case Study in Arcade Games Andrew Melnik Sascha Fleer M. Schilling Helge J. Ritter OffRL 71 12 0 27 Jan 2019
Decoupling feature extraction from policy learning: assessing benefits of state representation learning in goal based robotics Antonin Raffin Ashley Hill Kalifou René Traoré Timothée Lesort Natalia Díaz Rodríguez David Filliat SSL OffRL 52 56 0 24 Jan 2019
Ablation Studies in Artificial Neural Networks Richard Meyes Melanie Lu Constantin Waubert de Puiseau Tobias Meisen 69 216 0 24 Jan 2019
Learning Manipulation States and Actions for Efficient Non-prehensile Rearrangement Planning Joshua A. Haustein Isac Arnekvist J. A. Stork Kaiyu Hang Danica Kragic 56 11 0 11 Jan 2019
Motion Perception in Reinforcement Learning with Dynamic Objects Artemij Amiranashvili Alexey Dosovitskiy V. Koltun Thomas Brox 69 35 0 10 Jan 2019
Self-supervised Learning of Image Embedding for Continuous Control Carlos Florensa Jonas Degrave N. Heess Jost Tobias Springenberg Martin Riedmiller SSL 58 53 0 03 Jan 2019
A Theoretical Analysis of Deep Q-Learning Jianqing Fan Zhuoran Yang Yuchen Xie Zhaoran Wang 203 611 0 01 Jan 2019
Universal Successor Features Approximators Diana Borsa André Barreto John Quan D. Mankowitz Rémi Munos H. V. Hasselt David Silver Tom Schaul 89 117 0 18 Dec 2018
Residual Policy Learning Tom Silver Kelsey R. Allen J. Tenenbaum L. Kaelbling OffRL 95 181 0 15 Dec 2018
Scene Recomposition by Learning-based ICP Hamid Izadinia S. M. Seitz 3DV 3DPC 60 14 0 13 Dec 2018
Composing Entropic Policies using Divergence Correction Jonathan J. Hunt André Barreto Timothy Lillicrap N. Heess 52 2 0 05 Dec 2018
Few-Shot Self Reminder to Overcome Catastrophic Forgetting Junfeng Wen Yanshuai Cao Ruitong Huang CLL 49 24 0 03 Dec 2018
BlockPuzzle - A Challenge in Physical Reasoning and Generalization for Robot Learning Yixiu Zhao Ziyin Liu LRM 42 0 0 30 Nov 2018
Modulated Policy Hierarchies Alexander Pashevich Danijar Hafner James Davidson Rahul Sukthankar Cordelia Schmid 46 6 0 30 Nov 2018
Unsupervised Control Through Non-Parametric Discriminative Rewards David Warde-Farley T. Wiele Tejas D. Kulkarni Catalin Ionescu Steven Hansen Volodymyr Mnih DRL OffRL SSL 101 178 0 28 Nov 2018
PNS: Population-Guided Novelty Search for Reinforcement Learning in Hard Exploration Environments Qihao Liu Yujia Wang Xiao-Fei Liu 84 8 0 26 Nov 2018
Hardware Conditioned Policies for Multi-Robot Transfer Learning Tao Chen Adithyavairavan Murali Abhinav Gupta 85 102 0 24 Nov 2018
Model Learning for Look-ahead Exploration in Continuous Control Arpit Agarwal Katharina Muelling Katerina Fragkiadaki 61 8 0 20 Nov 2018
Reinforcement Learning of Active Vision for Manipulating Objects under Occlusions Ricson Cheng Arpit Agarwal Katerina Fragkiadaki 91 56 0 20 Nov 2018
Learning Actionable Representations with Goal-Conditioned Policies Dibya Ghosh Abhishek Gupta Sergey Levine 102 110 0 19 Nov 2018
Grasp2Vec: Learning Object Representations from Self-Supervised Grasping Eric Jang Coline Devin Vincent Vanhoucke Sergey Levine SSL 92 114 0 16 Nov 2018
Reward learning from human preferences and demonstrations in Atari Borja Ibarz Jan Leike Tobias Pohlen G. Irving Shane Legg Dario Amodei 117 398 0 15 Nov 2018
Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search Lars Buesing T. Weber Yori Zwols S. Racanière A. Guez Jean-Baptiste Lespiau N. Heess CML 121 138 0 15 Nov 2018
Meta-Learning for Multi-objective Reinforcement Learning Xi Chen Ali Ghadirzadeh Mårten Björkman Pablo G. Cámara OffRL 71 56 0 08 Nov 2018
Sample-Efficient Learning of Nonprehensile Manipulation Policies via Physics-Based Informed State Distributions Lerrel Pinto Aditya Mandalika Brian Hou S. Srinivasa 60 13 0 24 Oct 2018
Composable Action-Conditioned Predictors: Flexible Off-Policy Learning for Robot Navigation G. Kahn Adam R. Villaflor Pieter Abbeel Sergey Levine SSL OffRL 82 19 0 16 Oct 2018
Deep Reinforcement Learning Yuxi Li VLM OffRL 194 144 0 15 Oct 2018
CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning Cédric Colas Pierre Fournier Olivier Sigaud Mohamed Chetouani Pierre-Yves Oudeyer 115 40 0 15 Oct 2018
A Survey and Critique of Multiagent Deep Reinforcement Learning Pablo Hernandez-Leal Bilal Kartal Matthew E. Taylor OffRL 119 569 0 12 Oct 2018
One-Shot High-Fidelity Imitation: Training Large-Scale Deep Nets with RL T. Paine Sergio Gomez Colmenarejo Ziyun Wang Scott E. Reed Y. Aytar ... Matthew W. Hoffman Gabriel Barth-Maron Serkan Cabi David Budden Nando de Freitas OffRL 81 25 0 11 Oct 2018
The Laplacian in RL: Learning Representations with Efficient Approximations Yifan Wu George Tucker Ofir Nachum OffRL 66 87 0 10 Oct 2018
Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks Fabio Pardo Vitaly Levdik Petar Kormushev 57 4 0 06 Oct 2018
Simulator Predictive Control: Using Learned Task Representations and MPC for Zero-Shot Generalization and Sequencing Zhanpeng He Ryan Julian Eric Heiden Hejia Zhang S. Schaal Joseph J. Lim Gaurav Sukhatme Karol Hausman 85 15 0 04 Oct 2018
Energy-Based Hindsight Experience Prioritization Rui Zhao Volker Tresp 177 74 0 02 Oct 2018
Time Reversal as Self-Supervision Suraj Nair Mohammad Babaeizadeh Chelsea Finn Sergey Levine Vikash Kumar SSL 89 12 0 02 Oct 2018
Generalization and Regularization in DQN Jesse Farebrother Marlos C. Machado Michael Bowling 120 208 0 29 Sep 2018
Sim-to-Real Transfer of Robot Learning with Variable Length Inputs Vibhavari Dasagi Robert Lee Serena Mou Jake Bruce Niko Sünderhauf Jurgen Leitner OffRL 56 3 0 20 Sep 2018
Generalizing Across Multi-Objective Reward Functions in Deep Reinforcement Learning Eli Friedman F. Fontaine OffRL 59 22 0 17 Sep 2018
Curriculum goal masking for continuous deep reinforcement learning Manfred Eppe S. Magg S. Wermter 56 19 0 17 Sep 2018
Improvements on Hindsight Learning Ameet Deshpande Srikanth Sarma Ashutosh Jha Balaraman Ravindran OffRL 48 3 0 16 Sep 2018