A Survey Analyzing Generalization in Deep Reinforcement Learning

4 January 2024

Papers citing "A Survey Analyzing Generalization in Deep Reinforcement Learning"

33 / 33 papers shown

Title
Random Latent Exploration for Deep Reinforcement Learning Srinath Mahankali Zhang-Wei Hong Ayush Sekhari Alexander Rakhlin Pulkit Agrawal 199 3 0 18 Jul 2024
Detecting Adversarial Directions in Deep Reinforcement Learning to Make Robust Decisions Ezgi Korkmaz Jonah Brown-Cohen AAML 52 9 0 09 Jun 2023
Adversarial Robust Deep Reinforcement Learning Requires Redefining Robustness Ezgi Korkmaz 36 29 0 17 Jan 2023
Introducing Symmetries to Black Box Meta Reinforcement Learning Louis Kirsch Sebastian Flennerhag Hado van Hasselt A. Friesen Junhyuk Oh Yutian Chen 56 32 0 22 Sep 2021
Continual World: A Robotic Benchmark For Continual Reinforcement Learning Maciej Wołczyk Michal Zajkac Razvan Pascanu Lukasz Kuciñski Piotr Milo's CLL OffRL 57 95 0 23 May 2021
Decoupling Value and Policy for Generalization in Reinforcement Learning Roberta Raileanu Rob Fergus DRL OffRL 51 98 0 20 Feb 2021
Discovery of Options via Meta-Learned Subgoals Vivek Veeriah Tom Zahavy Matteo Hessel Zhongwen Xu Junhyuk Oh Iurii Kemaev H. V. Hasselt David Silver Satinder Singh 52 33 0 12 Feb 2021
Metrics and continuity in reinforcement learning Charline Le Lan Marc G. Bellemare Pablo Samuel Castro 34 35 0 02 Feb 2021
Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning Rishabh Agarwal Marlos C. Machado Pablo Samuel Castro Marc G. Bellemare OffRL 79 167 0 13 Jan 2021
When Is Generalizable Reinforcement Learning Tractable? Dhruv Malik Yuanzhi Li Pradeep Ravikumar OffRL 133 25 0 01 Jan 2021
Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design Michael Dennis Natasha Jaques Eugene Vinitsky Alexandre M. Bayen Stuart J. Russell Andrew Critch Sergey Levine 75 234 0 03 Dec 2020
Phasic Policy Gradient K. Cobbe Jacob Hilton Oleg Klimov John Schulman OffRL 51 158 0 09 Sep 2020
Meta-Gradient Reinforcement Learning with an Objective Discovered Online Zhongwen Xu H. V. Hasselt Matteo Hessel Junhyuk Oh Satinder Singh David Silver 73 77 0 16 Jul 2020
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning Kimin Lee Michael Laskin A. Srinivas Pieter Abbeel OffRL 48 203 0 09 Jul 2020
Reinforcement Learning with Augmented Data Michael Laskin Kimin Lee Adam Stooke Lerrel Pinto Pieter Abbeel A. Srinivas OffRL 76 660 0 30 Apr 2020
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels Ilya Kostrikov Denis Yarats Rob Fergus OffRL 94 790 0 28 Apr 2020
CURL: Contrastive Unsupervised Representations for Reinforcement Learning A. Srinivas Michael Laskin Pieter Abbeel SSL DRL OffRL 83 1,087 0 08 Apr 2020
Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations Huan Zhang Hongge Chen Chaowei Xiao Yue Liu Mingyan D. Liu Duane S. Boning Cho-Jui Hsieh AAML 81 268 0 19 Mar 2020
Lipschitz Lifelong Reinforcement Learning Erwan Lecarpentier David Abel Kavosh Asadi Yuu Jinnai Emmanuel Rachelson Michael L. Littman OffRL CLL 54 39 0 15 Jan 2020
Leveraging Procedural Generation to Benchmark Reinforcement Learning K. Cobbe Christopher Hesse Jacob Hilton John Schulman 72 555 0 03 Dec 2019
Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck Maximilian Igl K. Ciosek Yingzhen Li Sebastian Tschiatschek Cheng Zhang Sam Devlin Katja Hofmann OffRL 55 173 0 28 Oct 2019
Adversarial Policies: Attacking Deep Reinforcement Learning Adam Gleave Michael Dennis Cody Wild Neel Kant Sergey Levine Stuart J. Russell AAML 77 355 0 25 May 2019
Delving into adversarial attacks on deep policies Jernej Kos D. Song AAML 59 225 0 18 May 2017
Robust Adversarial Reinforcement Learning Lerrel Pinto James Davidson Rahul Sukthankar Abhinav Gupta OOD 93 854 0 08 Mar 2017
Tactics of Adversarial Attack on Deep Reinforcement Learning Agents Yen-Chen Lin Zhang-Wei Hong Yuan-Hong Liao Meng-Li Shih Ming-Yuan Liu Min Sun AAML 82 414 0 08 Mar 2017
Averaged-DQN: Variance Reduction and Stabilization for Deep Reinforcement Learning Oron Anschel Nir Baram N. Shimkin 72 317 0 07 Nov 2016
Unifying Count-Based Exploration and Intrinsic Motivation Marc G. Bellemare S. Srinivasan Georg Ostrovski Tom Schaul D. Saxton Rémi Munos 167 1,477 0 06 Jun 2016
Dueling Network Architectures for Deep Reinforcement Learning Ziyun Wang Tom Schaul Matteo Hessel H. V. Hasselt Marc Lanctot Nando de Freitas OffRL 91 3,755 0 20 Nov 2015
Deep Reinforcement Learning with Double Q-learning H. V. Hasselt A. Guez David Silver OffRL 161 7,635 0 22 Sep 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 452 43,277 0 11 Feb 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 269 19,045 0 20 Dec 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 266 14,912 1 21 Dec 2013
The Arcade Learning Environment: An Evaluation Platform for General Agents Marc G. Bellemare Yavar Naddaf J. Veness Michael Bowling 109 3,004 0 19 Jul 2012