Learning to Fly -- a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control

3 March 2021

Amanda Prorok

Angela P. Schoellig University of Toronto Institute for A Studies

AI4CE

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Papers citing "Learning to Fly -- a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control"

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Title
Reinforcement Learning-based Fault-Tolerant Control for Quadrotor with Online Transformer Adaptation Dohyun Kim Jayden Dongwoo Lee Hyochoong Bang Jungho Bae 16 0 0 13 May 2025
RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning Haoran Geng Feishi Wang Songlin Wei Y. Li Bangjun Wang ... Hao Dong Siyuan Huang Yue Wang Jitendra Malik Pieter Abbeel 75 3 0 26 Apr 2025
Bridging Deep Reinforcement Learning and Motion Planning for Model-Free Navigation in Cluttered Environments Licheng Luo Mingyu Cai 36 0 0 09 Apr 2025
Robust Deterministic Policy Gradient for Disturbance Attenuation and Its Application to Quadrotor Control T. Lee Donghwan Lee 35 0 0 28 Feb 2025
SELP: Generating Safe and Efficient Task Plans for Robot Agents with Large Language Models Yi Wu Z. Xiong Yiran Hu Shreyash S. Iyengar Nan Jiang Aniket Bera Lin Tan Suresh Jagannathan LM&Ro LLMAG 76 4 0 17 Feb 2025
AgilePilot: DRL-Based Drone Agent for Real-Time Motion Planning in Dynamic Environments by Leveraging Object Detection Roohan Ahmed Khan Valerii Serpiva Demetros Aschalew A. Fedoseev Dzmitry Tsetserukou 53 0 0 10 Feb 2025
Symmetries-enhanced Multi-Agent Reinforcement Learning N. Bousias Stefanos Pertigkiozoglou Kostas Daniilidis George Pappas AI4CE 71 0 0 02 Jan 2025
SOUS VIDE: Cooking Visual Drone Navigation Policies in a Gaussian Splatting Vacuum JunEn Low Maximilian Adang Javier Yu Keiko Nagami Mac Schwager 3DGS VGen 91 4 0 20 Dec 2024
Dashing for the Golden Snitch: Multi-Drone Time-Optimal Motion Planning with Multi-Agent Reinforcement Learning X. Wang Jin Zhou Yuanli Feng Jiahao Mei Jiming Chen Shuo Li 29 1 0 25 Sep 2024
ProxFly: Robust Control for Close Proximity Quadcopter Flight via Residual Reinforcement Learning Ruiqi Zhang Dingqi Zhang Mark W. Mueller 64 1 0 20 Sep 2024
Trajectory Tracking for UAVs: An Interpolating Control Approach Zdenek Boucek Miroslav Flídr Ondrej Straka 21 0 0 01 Jul 2024
Gaussian Splatting to Real World Flight Navigation Transfer with Liquid Networks Alex Quach Makram Chahine Alexander Amini Ramin Hasani Daniela Rus 3DGS 29 6 0 21 Jun 2024
NaviSlim: Adaptive Context-Aware Navigation and Sensing via Dynamic Slimmable Networks Timothy K Johnsen Marco Levorato 31 1 0 16 May 2024
Skill Transfer and Discovery for Sim-to-Real Learning: A Representation-Based Viewpoint Haitong Ma Zhaolin Ren Bo Dai Na Li 24 1 0 07 Apr 2024
CCIL: Continuity-based Data Augmentation for Corrective Imitation Learning Liyiming Ke Yunchu Zhang Abhay Deshpande S. Srinivasa Abhishek Gupta OffRL 19 12 0 19 Oct 2023
OmniDrones: An Efficient and Flexible Platform for Reinforcement Learning in Drone Control Botian Xu Feng Gao Chao Yu Ruize Zhang Yi Wu Yu Wang 16 28 0 22 Sep 2023
A Remote Sim2real Aerial Competition: Fostering Reproducibility and Solutions' Diversity in Robotics Challenges Spencer Teetaert Wenda Zhao Niu Xinyuan Hashir Zahir Huiyu Leong ... Lukas Brunke Melissa Greeff Wolfgang Hoenig Jacopo Panerati T. China 21 1 0 31 Aug 2023
QuadSwarm: A Modular Multi-Quadrotor Simulator for Deep Reinforcement Learning with Direct Thrust Control Zhehui Huang S. Batra Tao Chen Rahul Krupani T. Kumar Artem Molchanov Aleksei Petrenko James A. Preiss Zhaojing Yang Gaurav Sukhatme 16 6 0 15 Jun 2023
Reinforcement Learning for Safe Robot Control using Control Lyapunov Barrier Functions Desong Du Shao-Fu Han Naiming Qi Haitham Bou-Ammar Jun Wang Wei Pan 11 15 0 16 May 2023
Safety-Critical Ergodic Exploration in Cluttered Environments via Control Barrier Functions Cameron J. Lerch Ethan Dong Ian Abraham 22 13 0 08 Nov 2022
Characterising the Robustness of Reinforcement Learning for Continuous Control using Disturbance Injection Catherine R. Glossop Jacopo Panerati A. Krishnan Zhaocong Yuan Angela P. Schoellig 8 6 0 27 Oct 2022
VMAS: A Vectorized Multi-Agent Simulator for Collective Robot Learning Matteo Bettini Ryan Kortvelesy J. Blumenkamp Amanda Prorok 16 36 0 07 Jul 2022
A Verification Framework for Certifying Learning-Based Safety-Critical Aviation Systems Ali Baheri Hao Ren B. Johnson Pouria Razzaghi Peng Wei 11 5 0 09 May 2022
A Review of Cooperative Multi-Agent Deep Reinforcement Learning Afshin Oroojlooyjadid Davood Hajinezhad 28 408 0 11 Aug 2019