Deep Reinforcement Learning with Successor Features for Navigation across Similar Environments

16 December 2016

Jingwei Zhang

Jost Tobias Springenberg

Joschka Boedecker

Wolfram Burgard

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Papers citing "Deep Reinforcement Learning with Successor Features for Navigation across Similar Environments"

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Title
Advancing Autonomous VLM Agents via Variational Subgoal-Conditioned Reinforcement Learning Qingyuan Wu Jianheng Liu Haifeng Zhang Jun Wang Kun Shao OffRL 107 0 0 11 Feb 2025
SR-Reward: Taking The Path More Traveled Seyed Mahdi Basiri Azad Zahra Padar Gabriel Kalweit Joschka Boedecker OffRL 67 0 0 04 Jan 2025
Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching A. Jain Harley Wiltzer Jesse Farebrother Irina Rish Glen Berseth Sanjiban Choudhury 57 1 0 11 Nov 2024
Efficient Diversity-based Experience Replay for Deep Reinforcement Learning Kaiyan Zhao Yiming Wang Yuyang Chen Yan Li Leong Hou U Xiaoguang Niu 39 1 0 27 Oct 2024
Ensemble Successor Representations for Task Generalization in Offline-to-Online Reinforcement Learning Changhong Wang Xudong Yu Chenjia Bai Qiaosheng Zhang Zhen Wang 40 1 0 12 May 2024
A comparison of RL-based and PID controllers for 6-DOF swimming robots: hybrid underwater object tracking F. Lotfi K. Virji Nicholas Dudek Gregory Dudek 27 0 0 29 Jan 2024
Uncertainty-aware transfer across tasks using hybrid model-based successor feature reinforcement learning Parvin Malekzadeh Ming Hou Konstantinos N. Plataniotis 51 1 0 16 Oct 2023
Improving Reliable Navigation under Uncertainty via Predictions Informed by Non-Local Information Raihan Islam Arnob Gregory J. Stein 33 2 0 26 Jul 2023
Exploiting Symmetry and Heuristic Demonstrations in Off-policy Reinforcement Learning for Robotic Manipulation Amir M. Soufi Enayati Zengjie Zhang Kashish Gupta H. Najjaran OffRL 16 0 0 12 Apr 2023
Monocular Camera and Single-Beam Sonar-Based Underwater Collision-Free Navigation with Domain Randomization Pengzhi Yang Haowen Liu Monika Roznere Alberto Quattrini Li 22 9 0 08 Dec 2022
Vision-based navigation and obstacle avoidance via deep reinforcement learning P. Blum Peter Crowley G. Lykotrafitis 18 2 0 09 Nov 2022
Reward-Predictive Clustering Lucas Lehnert M. Frank Michael L. Littman OffRL 25 0 0 07 Nov 2022
Learning Real-world Autonomous Navigation by Self-Supervised Environment Synthesis Zifan Xu Anirudh Nair Xuesu Xiao Peter Stone 38 6 0 10 Oct 2022
Does Zero-Shot Reinforcement Learning Exist? Ahmed Touati Jérémy Rapin Yann Ollivier OffRL 42 39 0 29 Sep 2022
Meta Reinforcement Learning with Successor Feature Based Context Xu Han Feng Wu OffRL LRM 40 3 0 29 Jul 2022
Constrained Reinforcement Learning for Robotics via Scenario-Based Programming Davide Corsi Raz Yerushalmi Guy Amir Alessandro Farinelli D. Harel Guy Katz 27 19 0 20 Jun 2022
Robust Adversarial Attacks Detection based on Explainable Deep Reinforcement Learning For UAV Guidance and Planning Tom Hickling Nabil Aouf P. Spencer AAML 17 50 0 06 Jun 2022
Verifying Learning-Based Robotic Navigation Systems Guy Amir Davide Corsi Raz Yerushalmi Luca Marzari D. Harel Alessandro Farinelli Guy Katz 94 37 0 26 May 2022
Using Deep Reinforcement Learning with Automatic Curriculum Learning for Mapless Navigation in Intralogistics Honghu Xue Benedikt Hein M. Bakr Georg Schildbach Bengt Abel Elmar Rueckert 16 15 0 23 Feb 2022
Curriculum Learning for Safe Mapless Navigation Luca Marzari Davide Corsi Enrico Marchesini Alessandro Farinelli 30 14 0 23 Dec 2021
Benchmarking Safe Deep Reinforcement Learning in Aquatic Navigation Enrico Marchesini Davide Corsi Alessandro Farinelli 16 18 0 16 Dec 2021
Successor Feature Representations Chris Reinke Xavier Alameda-Pineda 29 5 0 29 Oct 2021
Deep Federated Learning for Autonomous Driving A. Nguyen Tuong Khanh Long Do Minh-Ngoc Tran Binh X. Nguyen C. Duong T. Phan Erman Tjiputra Quang-Dieu Tran FedML 36 109 0 12 Oct 2021
XAI-N: Sensor-based Robot Navigation using Expert Policies and Decision Trees Aaron M. Roth Jing Liang Tianyi Zhou 52 8 0 22 Apr 2021
Learning One Representation to Optimize All Rewards Ahmed Touati Yann Ollivier OffRL 21 60 0 14 Mar 2021
NavTuner: Learning a Scene-Sensitive Family of Navigation Policies Haoxin Ma Justin S. Smith Patricio A. Vela 23 4 0 02 Mar 2021
Accelerated Sim-to-Real Deep Reinforcement Learning: Learning Collision Avoidance from Human Player Hanlin Niu Ze Ji F. Arvin Barry Lennox Hujun Yin J. Carrasco 11 30 0 21 Feb 2021
Cross-Modal Contrastive Learning of Representations for Navigation using Lightweight, Low-Cost Millimeter Wave Radar for Adverse Environmental Conditions Jui-Te Huang Chen-Lung Lu Po-Kai Chang Ching-I Huang Chao-Chun Hsu Zu Lin Ewe Po-Jui Huang Hsueh-Cheng Wang 46 19 0 10 Jan 2021
Evaluating the Safety of Deep Reinforcement Learning Models using Semi-Formal Verification Davide Corsi Enrico Marchesini Alessandro Farinelli OffRL 14 2 0 19 Oct 2020
When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey Chongzhen Zhang Jianrui Wang Gary G. Yen Chaoqiang Zhao Qiyu Sun Yang Tang Feng Qian Jürgen Kurths AAML 33 20 0 29 Mar 2020
Robot Navigation with Map-Based Deep Reinforcement Learning Guangda Chen Lifan Pan Yuán Chen Pei Xu Zhiqiang Wang Peichen Wu Jianmin Ji Xiaoping Chen 19 27 0 11 Feb 2020
Predictive Coding for Boosting Deep Reinforcement Learning with Sparse Rewards Xingyu Lu Stas Tiomkin Pieter Abbeel OffRL 31 4 0 21 Dec 2019
Reinforcement Learning-based Visual Navigation with Information-Theoretic Regularization Qiaoyun Wu Kai Xu Jun Wang Mingliang Xu Xiaoxi Gong Tianyi Zhou 14 30 0 09 Dec 2019
Neural Spectrum Alignment: Empirical Study Dmitry Kopitkov Vadim Indelman 35 14 0 19 Oct 2019
Attentive Multi-Task Deep Reinforcement Learning Timo Bram Gino Brunner Oliver Richter Roger Wattenhofer CLL 17 18 0 05 Jul 2019
NeoNav: Improving the Generalization of Visual Navigation via Generating Next Expected Observations Qiaoyun Wu Tianyi Zhou Jun Wang Kai Xu 16 15 0 17 Jun 2019
DIViS: Domain Invariant Visual Servoing for Collision-Free Goal Reaching Fereshteh Sadeghi 13 28 0 18 Feb 2019
Successor Features Combine Elements of Model-Free and Model-based Reinforcement Learning Lucas Lehnert Michael L. Littman 16 10 0 31 Jan 2019
Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement André Barreto Diana Borsa John Quan Tom Schaul David Silver Matteo Hessel D. Mankowitz Augustin Žídek Rémi Munos OffRL 41 161 0 30 Jan 2019
Lifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems Boyi Liu Lujia Wang Ming Liu 27 245 0 19 Jan 2019
Universal Successor Features Approximators Diana Borsa André Barreto John Quan D. Mankowitz Rémi Munos H. V. Hasselt David Silver Tom Schaul 28 114 0 18 Dec 2018
Learning with Training Wheels: Speeding up Training with a Simple Controller for Deep Reinforcement Learning Linhai Xie Sen Wang Stefano Rosa Andrew Markham A. Trigoni OffRL 22 80 0 12 Dec 2018
Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer Learning M. Ferguson Ak Ronay Y. T. Lee K. Law 21 174 0 07 Aug 2018
Learning Deployable Navigation Policies at Kilometer Scale from a Single Traversal Jake Bruce Niko Sünderhauf Piotr Wojciech Mirowski R. Hadsell Michael Milford 22 35 0 11 Jul 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 18 157 0 18 May 2018
Accelerating Learning in Constructive Predictive Frameworks with the Successor Representation Craig Sherstan Marlos C. Machado P. Pilarski 33 10 0 23 Mar 2018
Global Pose Estimation with an Attention-based Recurrent Network Emilio Parisotto Devendra Singh Chaplot Jian Zhang Ruslan Salakhutdinov 26 70 0 19 Feb 2018
VR-Goggles for Robots: Real-to-sim Domain Adaptation for Visual Control Jingwei Zhang L. Tai Peng Yun Yufeng Xiong Ming Liu Joschka Boedecker Wolfram Burgard 21 122 0 01 Feb 2018
Socially Compliant Navigation through Raw Depth Inputs with Generative Adversarial Imitation Learning L. Tai Jingwei Zhang Ming Liu Wolfram Burgard GAN 19 176 0 06 Oct 2017
Neural SLAM: Learning to Explore with External Memory Jingwei Zhang L. Tai Ming Liu Joschka Boedecker Wolfram Burgard 22 71 0 29 Jun 2017