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
Bridging Deep Reinforcement Learning and Motion Planning for Model-Free Navigation in Cluttered Environments Licheng Luo Mingyu Cai 50 0 0 09 Apr 2025
CP-NCBF: A Conformal Prediction-based Approach to Synthesize Verified Neural Control Barrier Functions Manan Tayal Aditya Singh Pushpak Jagtap Shishir Kolathaya 73 2 0 18 Mar 2025
Robust Deterministic Policy Gradient for Disturbance Attenuation and Its Application to Quadrotor Control T. Lee Donghwan Lee 56 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 101 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 67 0 0 10 Feb 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 130 5 0 20 Dec 2024
Dashing for the Golden Snitch: Multi-Drone Time-Optimal Motion Planning with Multi-Agent Reinforcement Learning Xingyu Wang Jin Zhou Yuanli Feng Jiahao Mei Jiming Chen Shuo Li 62 1 0 25 Sep 2024
ProxFly: Robust Control for Close Proximity Quadcopter Flight via Residual Reinforcement Learning Ruiqi Zhang Dingqi Zhang Mark W. Mueller 238 1 0 20 Sep 2024
OmniDrones: An Efficient and Flexible Platform for Reinforcement Learning in Drone Control Botian Xu Feng Gao Chao Yu Chao Yu Yi Wu Yu Wang 50 29 0 22 Sep 2023
Flightmare: A Flexible Quadrotor Simulator Yunlong Song Selim Naji Elia Kaufmann Antonio Loquercio Davide Scaramuzza 15 175 0 01 Sep 2020
dm_control: Software and Tasks for Continuous Control Yuval Tassa S. Tunyasuvunakool Alistair Muldal Yotam Doron Piotr Trochim ... Steven Bohez J. Merel Tom Erez Timothy Lillicrap N. Heess LM&Ro 51 403 0 22 Jun 2020
Agent57: Outperforming the Atari Human Benchmark Adria Puigdomenech Badia Bilal Piot Steven Kapturowski Pablo Sprechmann Alex Vitvitskyi Daniel Guo Charles Blundell OffRL 38 510 0 30 Mar 2020
An empirical investigation of the challenges of real-world reinforcement learning Gabriel Dulac-Arnold Nir Levine D. Mankowitz Jerry Li Cosmin Paduraru Sven Gowal Todd Hester OffRL 61 123 0 24 Mar 2020
Sim-to-(Multi)-Real: Transfer of Low-Level Robust Control Policies to Multiple Quadrotors Artem Molchanov Tao Chen Wolfgang Hönig James A. Preiss Nora Ayanian Gaurav Sukhatme 99 107 0 11 Mar 2019
Neural Lander: Stable Drone Landing Control using Learned Dynamics Guanya Shi Xichen Shi Michael O'Connell Rose Yu Kamyar Azizzadenesheli Anima Anandkumar Yisong Yue Soon-Jo Chung 54 272 0 19 Nov 2018
A Tour of Reinforcement Learning: The View from Continuous Control Benjamin Recht 37 623 0 25 Jun 2018
Reinforcement Learning for UAV Attitude Control W. Koch R. Mancuso R. West Azer Bestavros 41 382 0 11 Apr 2018
Deep Reinforcement Learning that Matters Peter Henderson Riashat Islam Philip Bachman Joelle Pineau Doina Precup David Meger OffRL 87 1,940 0 19 Sep 2017
AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles S. Shah Debadeepta Dey Chris Lovett Ashish Kapoor 51 1,976 0 15 May 2017
Design of a Trajectory Tracking Controller for a Nanoquadcopter Carlos E. Luis Jérôme Le Ny 12 54 0 20 Aug 2016
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 154 5,048 0 05 Jun 2016