Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning

19 November 2015

Jimmy Lei Ba

Papers citing "Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning"

23 / 123 papers shown

Title
Diff-DAC: Distributed Actor-Critic for Average Multitask Deep Reinforcement Learning Sergio Valcarcel Macua Aleksi Tukiainen D. Hernández David Baldazo Enrique Munoz de Cote S. Zazo 32 29 0 28 Oct 2017
Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents Marlos C. Machado Marc G. Bellemare Erik Talvitie J. Veness Matthew J. Hausknecht Michael Bowling 19 544 0 18 Sep 2017
A Brief Survey of Deep Reinforcement Learning Kai Arulkumaran M. Deisenroth Miles Brundage Anil Anthony Bharath OffRL 53 2,775 0 19 Aug 2017
Grounding Language for Transfer in Deep Reinforcement Learning Karthik R. Narasimhan Regina Barzilay Tommi Jaakkola LM&Ro OffRL 22 25 0 01 Aug 2017
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning I. Higgins Arka Pal Andrei A. Rusu Loic Matthey Christopher P. Burgess Alexander Pritzel M. Botvinick Charles Blundell Alexander Lerchner DRL 43 410 0 26 Jul 2017
A Survey on Multi-Task Learning Yu Zhang Qiang Yang AIMat 14 2,168 0 25 Jul 2017
Distral: Robust Multitask Reinforcement Learning Yee Whye Teh V. Bapst Wojciech M. Czarnecki John Quan J. Kirkpatrick R. Hadsell N. Heess Razvan Pascanu 44 544 0 13 Jul 2017
Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning Junhyuk Oh Satinder Singh Honglak Lee Pushmeet Kohli OffRL 31 269 0 15 Jun 2017
Faster Reinforcement Learning Using Active Simulators V. Jain Theja Tulabandhula 11 4 0 22 Mar 2017
Learning to Multi-Task by Active Sampling Sahil Sharma Ashutosh Jha Parikshit Hegde Balaraman Ravindran 10 21 0 20 Feb 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 104 1,503 0 25 Jan 2017
Deep Reinforcement Learning with Successor Features for Navigation across Similar Environments Jingwei Zhang Jost Tobias Springenberg Joschka Boedecker Wolfram Burgard 11 295 0 16 Dec 2016
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 22 7,318 0 02 Dec 2016
Generalizing Skills with Semi-Supervised Reinforcement Learning Chelsea Finn Tianhe Yu Justin Fu Pieter Abbeel Sergey Levine OffRL SSL 19 67 0 01 Dec 2016
Exploration for Multi-task Reinforcement Learning with Deep Generative Models Sai Praveen Bangaru J. S. Suhas Balaraman Ravindran 21 7 0 29 Nov 2016
Incremental Sequence Learning E. Jong CLL 24 5 0 09 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 35 1,007 0 09 Nov 2016
Towards Deep Symbolic Reinforcement Learning M. Garnelo Kai Arulkumaran Murray Shanahan 30 225 0 18 Sep 2016
Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning Yuke Zhu Roozbeh Mottaghi Eric Kolve Joseph J. Lim Abhinav Gupta Li Fei-Fei Ali Farhadi VGen 18 1,512 0 16 Sep 2016
Active Long Term Memory Networks Tommaso Furlanello Jiaping Zhao Andrew M. Saxe Laurent Itti B. Tjan KELM CLL 32 41 0 07 Jun 2016
Deep Q-Networks for Accelerating the Training of Deep Neural Networks Jie Fu AI4CE 40 11 0 05 Jun 2016
A Deep Hierarchical Approach to Lifelong Learning in Minecraft Chen Tessler Shahar Givony Tom Zahavy D. Mankowitz Shie Mannor CLL 17 377 0 25 Apr 2016
Do Deep Convolutional Nets Really Need to be Deep and Convolutional? G. Urban Krzysztof J. Geras Samira Ebrahimi Kahou Ozlem Aslan Shengjie Wang R. Caruana Abdel-rahman Mohamed Matthai Philipose Matthew Richardson 20 47 0 17 Mar 2016