Concrete Problems in AI Safety

21 June 2016

Papers citing "Concrete Problems in AI Safety"

50 / 476 papers shown

Title
Neural Network Model Extraction Attacks in Edge Devices by Hearing Architectural Hints Xing Hu Ling Liang Lei Deng Shuangchen Li Xinfeng Xie Yu Ji Yufei Ding Chang Liu T. Sherwood Yuan Xie AAML MLAU 23 36 0 10 Mar 2019
Deep CNN-based Multi-task Learning for Open-Set Recognition Poojan Oza Vishal M. Patel 24 35 0 07 Mar 2019
The Ethics of AI Ethics -- An Evaluation of Guidelines Thilo Hagendorff AI4TS 28 1,156 0 28 Feb 2019
Conservative Agency via Attainable Utility Preservation Alexander Matt Turner Dylan Hadfield-Menell Prasad Tadepalli 21 49 0 26 Feb 2019
Embedded Agency A. Demski Scott Garrabrant AIFin 32 34 0 25 Feb 2019
Learning to Generalize from Sparse and Underspecified Rewards Rishabh Agarwal Chen Liang Dale Schuurmans Mohammad Norouzi OffRL 54 97 0 19 Feb 2019
Value constrained model-free continuous control Steven Bohez A. Abdolmaleki Michael Neunert J. Buchli N. Heess R. Hadsell 24 62 0 12 Feb 2019
Go-Explore: a New Approach for Hard-Exploration Problems Adrien Ecoffet Joost Huizinga Joel Lehman Kenneth O. Stanley Jeff Clune AI4TS 24 362 0 30 Jan 2019
Uncertainty-Based Out-of-Distribution Detection in Deep Reinforcement Learning Andreas Sedlmeier Thomas Gabor Thomy Phan Lenz Belzner Claudia Linnhoff-Popien UQCV 22 24 0 08 Jan 2019
Risk-Aware Active Inverse Reinforcement Learning Daniel S. Brown Yuchen Cui S. Niekum 27 58 0 08 Jan 2019
A predictive safety filter for learning-based control of constrained nonlinear dynamical systems K. P. Wabersich Melanie Zeilinger AI4CE 26 155 0 13 Dec 2018
AutoGAN: Robust Classifier Against Adversarial Attacks Blerta Lindqvist Shridatt Sugrim R. Izmailov AAML 29 7 0 08 Dec 2018
Evaluating Bayesian Deep Learning Methods for Semantic Segmentation Jishnu Mukhoti Y. Gal UQCV BDL 33 219 0 30 Nov 2018
Probabilistic Object Detection: Definition and Evaluation David Hall Feras Dayoub John Skinner Haoyang Zhang Dimity Miller Peter Corke G. Carneiro A. Angelova Niko Sünderhauf UQCV 38 111 0 27 Nov 2018
Scalable agent alignment via reward modeling: a research direction Jan Leike David M. Krueger Tom Everitt Miljan Martic Vishal Maini Shane Legg 34 397 0 19 Nov 2018
Towards Governing Agent's Efficacy: Action-Conditional $β$ -VAE for Deep Transparent Reinforcement Learning John Yang Gyujeong Lee Minsung Hyun Simyung Chang Nojun Kwak 29 3 0 11 Nov 2018
Preparing for the Unexpected: Diversity Improves Planning Resilience in Evolutionary Algorithms Thomas Gabor Lenz Belzner Thomy Phan Kyrill Schmid 19 14 0 30 Oct 2018
Stability-certified reinforcement learning: A control-theoretic perspective Ming Jin Javad Lavaei 31 85 0 26 Oct 2018
Supervising strong learners by amplifying weak experts Paul Christiano Buck Shlegeris Dario Amodei 27 114 0 19 Oct 2018
Semi-supervised Deep Reinforcement Learning in Support of IoT and Smart City Services M. Mohammadi Ala I. Al-Fuqaha Mohsen Guizani Jun-Seok Oh OffRL HAI 22 337 0 09 Oct 2018
Scenic: A Language for Scenario Specification and Scene Generation Daniel J. Fremont T. Dreossi Shromona Ghosh Xiangyu Yue Alberto L. Sangiovanni-Vincentelli S. Seshia 42 246 0 25 Sep 2018
Emergence of Human-comparable Balancing Behaviors by Deep Reinforcement Learning Chuanyu Yang Taku Komura Zhibin Li 24 20 0 06 Sep 2018
Using Machine Learning Safely in Automotive Software: An Assessment and Adaption of Software Process Requirements in ISO 26262 Rick Salay Krzysztof Czarnecki 25 69 0 05 Aug 2018
Multi-Agent Generative Adversarial Imitation Learning Jiaming Song Hongyu Ren Dorsa Sadigh Stefano Ermon GAN 27 216 0 26 Jul 2018
Foundations for Restraining Bolts: Reinforcement Learning with LTLf/LDLf restraining specifications Giuseppe De Giacomo Luca Iocchi Marco Favorito F. Patrizi OffRL 20 121 0 17 Jul 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks Kimin Lee Kibok Lee Honglak Lee Jinwoo Shin OODD 23 2,004 0 10 Jul 2018
A Broader View on Bias in Automated Decision-Making: Reflecting on Epistemology and Dynamics Roel Dobbe Sarah Dean T. Gilbert Nitin Kohli 11 39 0 02 Jul 2018
Leveraging Uncertainty Estimates for Predicting Segmentation Quality Terrance Devries Graham W. Taylor UQCV 25 114 0 02 Jul 2018
Learning to Drive in a Day Alex Kendall Jeffrey Hawke David Janz Przemyslaw Mazur Daniele Reda John M. Allen Vinh-Dieu Lam Alex Bewley Amar Shah 42 643 0 01 Jul 2018
Interpretable to Whom? A Role-based Model for Analyzing Interpretable Machine Learning Systems Richard J. Tomsett Dave Braines Daniel Harborne Alun D. Preece Supriyo Chakraborty FaML 29 164 0 20 Jun 2018
An Efficient, Generalized Bellman Update For Cooperative Inverse Reinforcement Learning Dhruv Malik Malayandi Palaniappan J. F. Fisac Dylan Hadfield-Menell Stuart J. Russell Anca Dragan 8 31 0 11 Jun 2018
Learning convex bounds for linear quadratic control policy synthesis Jack Umenberger Thomas B. Schon 26 12 0 01 Jun 2018
Learning a Prior over Intent via Meta-Inverse Reinforcement Learning Kelvin Xu Ellis Ratner Anca Dragan Sergey Levine Chelsea Finn 27 66 0 31 May 2018
To Trust Or Not To Trust A Classifier Heinrich Jiang Been Kim Melody Y. Guan Maya R. Gupta UQCV 30 464 0 30 May 2018
Variational Inverse Control with Events: A General Framework for Data-Driven Reward Definition Justin Fu Avi Singh Dibya Ghosh Larry Yang Sergey Levine BDL 14 125 0 29 May 2018
Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for Map-less Navigation by Leveraging Prior Demonstrations Mark Pfeiffer Samarth Shukla M. Turchetta Cesar Cadena Andreas Krause Roland Siegwart Juan I. Nieto 27 157 0 18 May 2018
AGI Safety Literature Review Tom Everitt G. Lea Marcus Hutter AI4CE 36 115 0 03 May 2018
FPR -- Fast Path Risk Algorithm to Evaluate Collision Probability A. Blake Alejandro Bordallo Kamen Brestnichki Majd Hawasly Svetlin Penkov S. Ramamoorthy Alexandre Silva 30 6 0 15 Apr 2018
Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep Learning Nicolas Papernot Patrick McDaniel OOD AAML 13 503 0 13 Mar 2018
Predictive Uncertainty Estimation via Prior Networks A. Malinin Mark Gales UD BDL EDL UQCV PER 32 898 0 28 Feb 2018
Learning Confidence for Out-of-Distribution Detection in Neural Networks Terrance Devries Graham W. Taylor OOD OODD 43 581 0 13 Feb 2018
Learning from Richer Human Guidance: Augmenting Comparison-Based Learning with Feature Queries Chandrayee Basu M. Singhal Anca Dragan 28 57 0 05 Feb 2018
AI Safety Gridworlds Jan Leike Miljan Martic Victoria Krakovna Pedro A. Ortega Tom Everitt Andrew Lefrancq Laurent Orseau Shane Legg 23 250 0 27 Nov 2017
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples Kimin Lee Honglak Lee Kibok Lee Jinwoo Shin OODD 70 873 0 26 Nov 2017
Good and safe uses of AI Oracles Stuart Armstrong Xavier O'Rorke 30 26 0 15 Nov 2017
Inverse Reward Design Dylan Hadfield-Menell S. Milli Pieter Abbeel Stuart J. Russell Anca Dragan 28 391 0 08 Nov 2017
Learning Robust Rewards with Adversarial Inverse Reinforcement Learning Justin Fu Katie Z Luo Sergey Levine 53 739 0 30 Oct 2017
How Should a Robot Assess Risk? Towards an Axiomatic Theory of Risk in Robotics Anirudha Majumdar Marco Pavone 13 192 0 30 Oct 2017
Safety-Aware Apprenticeship Learning Weichao Zhou Wenchao Li 36 34 0 22 Oct 2017
A Policy Search Method For Temporal Logic Specified Reinforcement Learning Tasks Xiao Li Yao Ma C. Belta 18 59 0 27 Sep 2017