Uncertainty-based Meta-Reinforcement Learning for Robust Radar Tracking

Uncertainty-based Meta-Reinforcement Learning for Robust Radar Tracking

26 October 2022

Lorenzo Servadei

Gianfranco Mauro

Thomas Stadelmayer

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Papers citing "Uncertainty-based Meta-Reinforcement Learning for Robust Radar Tracking"

18 / 18 papers shown

Title
Skill-based Meta-Reinforcement Learning Taewook Nam Shao-Hua Sun Karl Pertsch Sung Ju Hwang Joseph J. Lim OffRL 72 44 0 25 Apr 2022
Label-Aware Ranked Loss for robust People Counting using Automotive in-cabin Radar Lorenzo Servadei Huawei Sun Julius Ott Michael Stephan Souvik Hazra Thomas Stadelmayer Daniela Sanchez Lopera Robert Wille Avik Santra 76 11 0 12 Oct 2021
Uncertainty-Based Out-of-Distribution Classification in Deep Reinforcement Learning Andreas Sedlmeier Thomas Gabor Thomy Phan Lenz Belzner Claudia Linnhoff-Popien 38 25 0 31 Dec 2019
Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables Kate Rakelly Aurick Zhou Deirdre Quillen Chelsea Finn Sergey Levine OffRL 83 661 0 19 Mar 2019
Randomized Prior Functions for Deep Reinforcement Learning Ian Osband John Aslanides Albin Cassirer UQCV BDL 76 380 0 08 Jun 2018
Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning Anusha Nagabandi I. Clavera Simin Liu R. Fearing Pieter Abbeel Sergey Levine Chelsea Finn 130 553 0 30 Mar 2018
On First-Order Meta-Learning Algorithms Alex Nichol Joshua Achiam John Schulman 233 2,237 0 08 Mar 2018
Meta-Learning for Semi-Supervised Few-Shot Classification Mengye Ren Eleni Triantafillou S. S. Ravi Jake C. Snell Kevin Swersky J. Tenenbaum Hugo Larochelle R. Zemel SSL 72 1,284 0 02 Mar 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 317 8,406 0 04 Jan 2018
Learning to Generalize: Meta-Learning for Domain Generalization Da Li Yongxin Yang Yi-Zhe Song Timothy M. Hospedales OOD 102 1,427 0 10 Oct 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 535 19,265 0 20 Jul 2017
Deep Q-learning from Demonstrations Todd Hester Matej Vecerík Olivier Pietquin Marc Lanctot Tom Schaul ... Gabriel Dulac-Arnold Ian Osband J. Agapiou Joel Z Leibo A. Gruslys OffRL 68 155 0 12 Apr 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 829 11,943 0 09 Mar 2017
Learning to reinforcement learn Jane X. Wang Z. Kurth-Nelson Dhruva Tirumala Hubert Soyer Joel Z Leibo Rémi Munos Charles Blundell D. Kumaran M. Botvinick OffRL 97 983 0 17 Nov 2016
Learning to learn by gradient descent by gradient descent Marcin Andrychowicz Misha Denil Sergio Gomez Colmenarejo Matthew W. Hoffman David Pfau Tom Schaul Brendan Shillingford Nando de Freitas 122 2,008 0 14 Jun 2016
Deep Exploration via Bootstrapped DQN Ian Osband Charles Blundell Alexander Pritzel Benjamin Van Roy 123 1,313 0 15 Feb 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 847 9,346 0 06 Jun 2015
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 129 12,265 0 19 Dec 2013

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