Boosting Exploration in Multi-Task Reinforcement Learning using
Adversarial Networks

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Boosting Exploration in Multi-Task Reinforcement Learning using Adversarial Networks

27 January 2022

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Papers citing "Boosting Exploration in Multi-Task Reinforcement Learning using Adversarial Networks"

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Title
The Effect of Diversity in Meta-Learning Ramnath Kumar T. Deleu Yoshua Bengio 65 13 0 27 Jan 2022
Dota 2 with Large Scale Deep Reinforcement Learning OpenAI OpenAI : Christopher Berner Greg Brockman Brooke Chan ... Szymon Sidor Ilya Sutskever Jie Tang Filip Wolski Susan Zhang GNN VLM CLL AI4CE LRM 169 1,836 0 13 Dec 2019
Neural Network Attributions: A Causal Perspective Aditya Chattopadhyay Piyushi Manupriya Anirban Sarkar V. Balasubramanian CML 67 146 0 06 Feb 2019
Learning deep representations by mutual information estimation and maximization R. Devon Hjelm A. Fedorov Samuel Lavoie-Marchildon Karan Grewal Phil Bachman Adam Trischler Yoshua Bengio SSL DRL 346 2,672 0 20 Aug 2018
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm David Silver Thomas Hubert Julian Schrittwieser Ioannis Antonoglou Matthew Lai ... D. Kumaran T. Graepel Timothy Lillicrap Karen Simonyan Demis Hassabis 153 1,782 0 05 Dec 2017
The (Un)reliability of saliency methods Pieter-Jan Kindermans Sara Hooker Julius Adebayo Maximilian Alber Kristof T. Schütt Sven Dähne D. Erhan Been Kim FAtt XAI 106 688 0 02 Nov 2017
Programmable Agents Misha Denil Sergio Gomez Colmenarejo Serkan Cabi D. Saxton Nando de Freitas AI4CE 81 42 0 20 Jun 2017
Equivalence Between Policy Gradients and Soft Q-Learning John Schulman Xi Chen Pieter Abbeel OffRL 109 349 0 21 Apr 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 829 11,952 0 09 Mar 2017
Robust Adversarial Reinforcement Learning Lerrel Pinto James Davidson Rahul Sukthankar Abhinav Gupta OOD 109 860 0 08 Mar 2017
Reinforcement Learning with Deep Energy-Based Policies Tuomas Haarnoja Haoran Tang Pieter Abbeel Sergey Levine 115 1,348 0 27 Feb 2017
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 374 7,572 0 02 Dec 2016
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 478 5,381 0 05 Nov 2016
Supervision via Competition: Robot Adversaries for Learning Tasks Lerrel Pinto James Davidson Abhinav Gupta SSL 78 82 0 05 Oct 2016
Learning Modular Neural Network Policies for Multi-Task and Multi-Robot Transfer Coline Devin Abhishek Gupta Trevor Darrell Pieter Abbeel Sergey Levine OffRL 84 400 0 22 Sep 2016
Progressive Neural Networks Andrei A. Rusu Neil C. Rabinowitz Guillaume Desjardins Hubert Soyer J. Kirkpatrick Koray Kavukcuoglu Razvan Pascanu R. Hadsell CLL AI4CE 81 2,464 0 15 Jun 2016
Safe and Efficient Off-Policy Reinforcement Learning Rémi Munos T. Stepleton Anna Harutyunyan Marc G. Bellemare OffRL 138 617 0 08 Jun 2016
Deep Reinforcement Learning from Self-Play in Imperfect-Information Games Johannes Heinrich David Silver SSL 66 399 0 03 Mar 2016
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 327 13,289 0 09 Sep 2015