Improving Generalization in Aerial and Terrestrial Mobile Robots Control Through Delayed Policy Learning

4 June 2024

Papers citing "Improving Generalization in Aerial and Terrestrial Mobile Robots Control Through Delayed Policy Learning"

23 / 23 papers shown

Title
Parallel Distributional Prioritized Deep Reinforcement Learning for Unmanned Aerial Vehicles A. H. Kolling V. A. Kich J. C. Jesus Andressa Cavalcante da Silva Ricardo B. Grando Paulo L. J. Drews-Jr D. T. Gamarra 60 3 0 01 Sep 2023
DoCRL: Double Critic Deep Reinforcement Learning for Mapless Navigation of a Hybrid Aerial Underwater Vehicle with Medium Transition Ricardo B. Grando J. C. Jesus V. A. Kich A. H. Kolling R. S. Guerra Paulo L. J. Drews-Jr 61 4 0 18 Aug 2023
Active Perception Applied To Unmanned Aerial Vehicles Through Deep Reinforcement Learning Matheus G. Mateus Ricardo B. Grando Paulo L. J. Drews-Jr 29 2 0 13 Sep 2022
Mapless Navigation of a Hybrid Aerial Underwater Vehicle with Deep Reinforcement Learning Through Environmental Generalization Ricardo B. Grando J. C. Jesus V. A. Kich A. H. Kolling R. S. Guerra Paulo L. J. Drews-Jr 60 13 0 13 Sep 2022
Deterministic and Stochastic Analysis of Deep Reinforcement Learning for Low Dimensional Sensing-based Navigation of Mobile Robots Ricardo B. Grando J. C. Jesus V. A. Kich A. H. Kolling R. S. Guerra Paulo L. J. Drews-Jr 40 2 0 13 Sep 2022
Depth-CUPRL: Depth-Imaged Contrastive Unsupervised Prioritized Representations in Reinforcement Learning for Mapless Navigation of Unmanned Aerial Vehicles J. C. Jesus V. A. Kich A. H. Kolling Ricardo B. Grando R. S. Guerra P. Drews SSL 80 18 0 30 Jun 2022
Double Critic Deep Reinforcement Learning for Mapless 3D Navigation of Unmanned Aerial Vehicles Ricardo B. Grando J. C. Jesus V. A. Kich A. H. Kolling P. Drews 57 34 0 27 Dec 2021
Deep Reinforcement Learning for Mapless Navigation of a Hybrid Aerial Underwater Vehicle with Medium Transition Ricardo B. Grando J. C. Jesus V. A. Kich A. H. Kolling Nicolas P. Bortoluzzi P. Pinheiro A. A. Neto Paulo L. J. Drews-Jr 39 39 0 23 Mar 2021
Generalization in Reinforcement Learning by Soft Data Augmentation Nicklas Hansen Xiaolong Wang OffRL 82 172 0 26 Nov 2020
Improving Generalization in Reinforcement Learning with Mixture Regularization Kaixin Wang Bingyi Kang Jie Shao Jiashi Feng 152 119 0 21 Oct 2020
Automatic Data Augmentation for Generalization in Deep Reinforcement Learning Roberta Raileanu M. Goldstein Denis Yarats Ilya Kostrikov Rob Fergus OffRL 47 109 0 23 Jun 2020
Quantifying Generalization in Reinforcement Learning K. Cobbe Oleg Klimov Christopher Hesse Taehoon Kim John Schulman OffRL 91 667 0 06 Dec 2018
Assessing Generalization in Deep Reinforcement Learning Charles Packer Katelyn Gao Jernej Kos Philipp Krahenbuhl V. Koltun D. Song OffRL 99 236 0 29 Oct 2018
Generalization and Regularization in DQN Jesse Farebrother Marlos C. Machado Michael Bowling 79 205 0 29 Sep 2018
Illuminating Generalization in Deep Reinforcement Learning through Procedural Level Generation Niels Justesen R. Torrado Philip Bontrager Ahmed Khalifa Julian Togelius S. Risi 108 184 0 28 Jun 2018
A Study on Overfitting in Deep Reinforcement Learning Chiyuan Zhang Oriol Vinyals Rémi Munos Samy Bengio OffRL OnRL 53 387 0 18 Apr 2018
Addressing Function Approximation Error in Actor-Critic Methods Scott Fujimoto H. V. Hoof David Meger OffRL 169 5,168 0 26 Feb 2018
Sensitivity and Generalization in Neural Networks: an Empirical Study Roman Novak Yasaman Bahri Daniel A. Abolafia Jeffrey Pennington Jascha Narain Sohl-Dickstein AAML 93 439 0 23 Feb 2018
Self-Normalizing Neural Networks Günter Klambauer Thomas Unterthiner Andreas Mayr Sepp Hochreiter 364 2,507 0 08 Jun 2017
Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updates S. Gu E. Holly Timothy Lillicrap Sergey Levine OffRL SSL 114 1,479 0 03 Oct 2016
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 294 13,214 0 09 Sep 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 413 43,234 0 11 Feb 2015
Dropout Training as Adaptive Regularization Stefan Wager Sida I. Wang Percy Liang 120 599 0 04 Jul 2013