How Do You Act? An Empirical Study to Understand Behavior of Deep
Reinforcement Learning Agents

How Do You Act? An Empirical Study to Understand Behavior of Deep Reinforcement Learning Agents

7 April 2020

Richard Meyes

Moritz Schneider

Tobias Meisen

Papers citing "How Do You Act? An Empirical Study to Understand Behavior of Deep Reinforcement Learning Agents"

14 / 14 papers shown

Title
Challenges of Real-World Reinforcement Learning Gabriel Dulac-Arnold D. Mankowitz Todd Hester OffRL 69 545 0 29 Apr 2019
Ablation Studies in Artificial Neural Networks Richard Meyes Melanie Lu Constantin Waubert de Puiseau Tobias Meisen 39 212 0 24 Jan 2019
Human-level performance in first-person multiplayer games with population-based deep reinforcement learning Max Jaderberg Wojciech M. Czarnecki Iain Dunning Luke Marris Guy Lever ... Joel Z Leibo David Silver Demis Hassabis Koray Kavukcuoglu T. Graepel OffRL 71 717 0 03 Jul 2018
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction Leland McInnes John Healy James Melville 118 9,312 0 09 Feb 2018
Interpretable Explanations of Black Boxes by Meaningful Perturbation Ruth C. Fong Andrea Vedaldi FAtt AAML 55 1,514 0 11 Apr 2017
Data-efficient Deep Reinforcement Learning for Dexterous Manipulation I. Popov N. Heess Timothy Lillicrap Roland Hafner Gabriel Barth-Maron Matej Vecerík Thomas Lampe Yuval Tassa Tom Erez Martin Riedmiller OffRL 62 264 0 10 Apr 2017
Understanding trained CNNs by indexing neuron selectivity Ivet Rafegas M. Vanrell Luís A. Alexandre Guillem Arias FAtt 30 41 0 01 Feb 2017
Pruning Filters for Efficient ConvNets Hao Li Asim Kadav Igor Durdanovic H. Samet H. Graf 3DPC 175 3,687 0 31 Aug 2016
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 285 10,412 0 21 Jul 2016
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 181 5,056 0 05 Jun 2016
Towards Better Analysis of Deep Convolutional Neural Networks Mengchen Liu Jiaxin Shi Zerui Li Chongxuan Li Jun Zhu Shixia Liu HAI 72 473 0 24 Apr 2016
Graying the black box: Understanding DQNs Tom Zahavy Nir Ben-Zrihem Shie Mannor 63 263 0 08 Feb 2016
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 210 13,174 0 09 Sep 2015
Visualizing and Understanding Recurrent Networks A. Karpathy Justin Johnson Li Fei-Fei HAI 89 1,100 0 05 Jun 2015