Reinforcement Learning with Unsupervised Auxiliary Tasks

16 November 2016

Max Jaderberg

Volodymyr Mnih

Wojciech M. Czarnecki

David Silver

Papers citing "Reinforcement Learning with Unsupervised Auxiliary Tasks"

31 / 31 papers shown

Title
Reasoning in visual navigation of end-to-end trained agents: a dynamical systems approach Steeven Janny Hervé Poirier L. Antsfeld G. Bono G. Monaci Boris Chidlovskii Francesco Giuliari Alessio Del Bue Christian Wolf LM&Ro 189 0 0 11 Mar 2025
Sample-efficient Unsupervised Policy Cloning from Ensemble Self-supervised Labeled Videos Xin Liu Yaran Chen Haoran Li SSL 174 0 0 14 Dec 2024
CityWalker: Learning Embodied Urban Navigation from Web-Scale Videos Xinhao Liu Jiajian Li Yichen Jiang Niranjan Sujay Zhiyong Yang Juexiao Zhang John Abanes Jing Zhang Chen Feng 166 4 0 26 Nov 2024
Adaptive Task Allocation in Multi-Human Multi-Robot Teams under Team Heterogeneity and Dynamic Information Uncertainty Ziqin Yuan Ruiqi Wang Taehyeon Kim Dezhong Zhao Ike Obi Byung-Cheol Min 107 2 0 20 Sep 2024
From Cognition to Precognition: A Future-Aware Framework for Social Navigation Zeying Gong Tianshuai Hu Ronghe Qiu Junwei Liang 345 3 0 20 Sep 2024
Random Latent Exploration for Deep Reinforcement Learning Srinath Mahankali Zhang-Wei Hong Ayush Sekhari Alexander Rakhlin Pulkit Agrawal 236 3 0 18 Jul 2024
Zero-Shot Reinforcement Learning via Function Encoders Tyler Ingebrand Amy Zhang Ufuk Topcu OffRL 92 5 0 30 Jan 2024
Cross-domain Random Pre-training with Prototypes for Reinforcement Learning Xin Liu Yaran Chen Haoran Li Boyu Li Dong Zhao SSL 129 10 0 11 Feb 2023
Reward Design in Cooperative Multi-agent Reinforcement Learning for Packet Routing Hangyu Mao Zhibo Gong Zhen Xiao 72 16 0 05 Mar 2020
End-to-End Model-Free Reinforcement Learning for Urban Driving using Implicit Affordances Marin Toromanoff É. Wirbel Fabien Moutarde OffRL 142 209 0 25 Nov 2019
Learning to Factor Policies and Action-Value Functions: Factored Action Space Representations for Deep Reinforcement learning Sahil Sharma A. Suresh Rahul Ramesh Balaraman Ravindran OffRL 56 36 0 20 May 2017
Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning Nat Dilokthanakul Christos Kaplanis Nick Pawlowski Murray Shanahan 72 92 0 18 May 2017
Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning Thomas M. Moerland Joost Broekens Catholijn M. Jonker OffRL 79 31 0 01 May 2017
Collaborative Deep Reinforcement Learning Kaixiang Lin Shu Wang Jiayu Zhou 77 22 0 19 Feb 2017
Learning to Navigate in Complex Environments Piotr Wojciech Mirowski Razvan Pascanu Fabio Viola Hubert Soyer Andy Ballard ... Ross Goroshin Laurent Sifre Koray Kavukcuoglu D. Kumaran R. Hadsell 107 880 0 11 Nov 2016
Playing FPS Games with Deep Reinforcement Learning Guillaume Lample Devendra Singh Chaplot OffRL EgoV 91 588 0 18 Sep 2016
Successor Features for Transfer in Reinforcement Learning André Barreto Will Dabney Rémi Munos Jonathan J. Hunt Tom Schaul H. V. Hasselt David Silver 47 577 0 16 Jun 2016
Deep Successor Reinforcement Learning Tejas D. Kulkarni A. Saeedi Simanta Gautam S. Gershman 74 209 0 08 Jun 2016
Predicting Personal Traits from Facial Images using Convolutional Neural Networks Augmented with Facial Landmark Information Yoad Lewenberg Valliappa Chockalingam Satinder Singh Honglak Lee CVBM 62 305 0 29 May 2016
ViZDoom: A Doom-based AI Research Platform for Visual Reinforcement Learning Michal Kempka Marek Wydmuch Grzegorz Runc Jakub Toczek Wojciech Ja'skowski 82 700 0 06 May 2016
A Deep Hierarchical Approach to Lifelong Learning in Minecraft Chen Tessler Shahar Givony Tom Zahavy D. Mankowitz Shie Mannor CLL 159 381 0 25 Apr 2016
Graying the black box: Understanding DQNs Tom Zahavy Nir Ben-Zrihem Shie Mannor 84 263 0 08 Feb 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 210 8,882 0 04 Feb 2016
Dueling Network Architectures for Deep Reinforcement Learning Ziyun Wang Tom Schaul Matteo Hessel H. V. Hasselt Marc Lanctot Nando de Freitas OffRL 93 3,771 0 20 Nov 2015
Prioritized Experience Replay Tom Schaul John Quan Ioannis Antonoglou David Silver OffRL 233 3,796 0 18 Nov 2015
Model-based Reinforcement Learning with Parametrized Physical Models and Optimism-Driven Exploration Christopher Xie S. Patil T. Moldovan Sergey Levine Pieter Abbeel 50 48 0 23 Sep 2015
Recurrent Reinforcement Learning: A Hybrid Approach Xiujun Li Lihong Li Jianfeng Gao Xiaodong He Jianshu Chen Li Deng Ji He OffRL 73 77 0 10 Sep 2015
Action-Conditional Video Prediction using Deep Networks in Atari Games Junhyuk Oh Xiaoxiao Guo Honglak Lee Richard L. Lewis Satinder Singh 115 855 0 31 Jul 2015
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 132 12,272 0 19 Dec 2013
The Arcade Learning Environment: An Evaluation Platform for General Agents Marc G. Bellemare Yavar Naddaf J. Veness Michael Bowling 120 3,022 0 19 Jul 2012
Compositional Planning Using Optimal Option Models David Silver K. Ciosek 105 74 0 27 Jun 2012