Uncertainty-Aware Reinforcement Learning for Collision Avoidance

3 February 2017

Pieter Abbeel

Papers citing "Uncertainty-Aware Reinforcement Learning for Collision Avoidance"

28 / 78 papers shown

Title
Uncertainty-Based Out-of-Distribution Classification in Deep Reinforcement Learning Andreas Sedlmeier Thomas Gabor Thomy Phan Lenz Belzner Claudia Linnhoff-Popien 21 25 0 31 Dec 2019
Optimizing Collision Avoidance in Dense Airspace using Deep Reinforcement Learning Sheng Li M. Egorov Mykel Kochenderfer 36 32 0 20 Dec 2019
Scaling active inference Alexander Tschantz Manuel Baltieri A. Seth Christopher L. Buckley BDL AI4CE 19 68 0 24 Nov 2019
Fully Bayesian Recurrent Neural Networks for Safe Reinforcement Learning Matthew Benatan Edward O. Pyzer-Knapp BDL 24 6 0 08 Nov 2019
Uncertainty Quantification with Statistical Guarantees in End-to-End Autonomous Driving Control Rhiannon Michelmore Matthew Wicker Luca Laurenti L. Cardelli Y. Gal Marta Z. Kwiatkowska BDL 21 105 0 21 Sep 2019
Risk-Aware Planning by Confidence Estimation using Deep Learning-Based Perception Maymoonah Toubeh Pratap Tokekar UQCV 25 4 0 13 Sep 2019
A General Framework for Uncertainty Estimation in Deep Learning Antonio Loquercio Mattia Segu Davide Scaramuzza UQCV BDL OOD 31 290 0 16 Jul 2019
Variational Inference MPC for Bayesian Model-based Reinforcement Learning Masashi Okada T. Taniguchi 43 73 0 08 Jul 2019
Generalizing from a few environments in safety-critical reinforcement learning Zachary Kenton Angelos Filos Owain Evans Y. Gal 15 16 0 02 Jul 2019
A Survey of Behavior Learning Applications in Robotics -- State of the Art and Perspectives Alexander Fabisch Christoph Petzoldt M. Otto Frank Kirchner AI4CE 15 13 0 05 Jun 2019
An Efficient Reachability-Based Framework for Provably Safe Autonomous Navigation in Unknown Environments Andrea V. Bajcsy Somil Bansal Eli Bronstein Varun Tolani Claire Tomlin 17 88 0 01 May 2019
The Emotionally Intelligent Robot: Improving Social Navigation in Crowded Environments Aniket Bera Tanmay Randhavane R. Prinja Kyra Kapsaskis Austin Wang Kurt Gray Tianyi Zhou 22 22 0 07 Mar 2019
Combining Optimal Control and Learning for Visual Navigation in Novel Environments Somil Bansal Varun Tolani Saurabh Gupta Jitendra Malik Claire Tomlin 13 162 0 06 Mar 2019
Go-Explore: a New Approach for Hard-Exploration Problems Adrien Ecoffet Joost Huizinga Joel Lehman Kenneth O. Stanley Jeff Clune AI4TS 24 363 0 30 Jan 2019
Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic Mikael Henaff A. Canziani Yann LeCun OOD 28 122 0 08 Jan 2019
Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control F. Ebert Chelsea Finn Sudeep Dasari Annie Xie Alex X. Lee Sergey Levine SSL 35 379 0 03 Dec 2018
Robustness via Retrying: Closed-Loop Robotic Manipulation with Self-Supervised Learning F. Ebert Sudeep Dasari Alex X. Lee Sergey Levine Chelsea Finn SSL 11 61 0 06 Oct 2018
On Offline Evaluation of Vision-based Driving Models Felipe Codevilla Antonio M. López V. Koltun Alexey Dosovitskiy OffRL 20 102 0 13 Sep 2018
Confidence Scoring Using Whitebox Meta-models with Linear Classifier Probes Tongfei Chen Jirí Navrátil Vijay Iyengar Karthikeyan Shanmugam 10 42 0 14 May 2018
Verifying Controllers Against Adversarial Examples with Bayesian Optimization Shromona Ghosh Felix Berkenkamp G. Ranade S. Qadeer Ashish Kapoor AAML 33 45 0 23 Feb 2018
Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning Benjamin Eysenbach S. Gu Julian Ibarz Sergey Levine CLL 37 139 0 18 Nov 2017
Self-Supervised Visual Planning with Temporal Skip Connections F. Ebert Chelsea Finn Alex X. Lee Sergey Levine SSL 40 317 0 15 Oct 2017
Self-supervised Deep Reinforcement Learning with Generalized Computation Graphs for Robot Navigation G. Kahn Adam R. Villaflor Bosen Ding Pieter Abbeel Sergey Levine SSL 48 287 0 29 Sep 2017
Mutual Alignment Transfer Learning Markus Wulfmeier Ingmar Posner Pieter Abbeel 16 60 0 25 Jul 2017
MagNet: a Two-Pronged Defense against Adversarial Examples Dongyu Meng Hao Chen AAML 13 1,199 0 25 May 2017
Concrete Dropout Y. Gal Jiri Hron Alex Kendall BDL UQCV 57 586 0 22 May 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,167 0 06 Jun 2015
Safe Exploration in Markov Decision Processes T. Moldovan Pieter Abbeel 78 308 0 22 May 2012