Learning to Fly—a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control
Jacopo Panerati,Hehui Zheng,SiQi Zhou,James Xu,Amanda Prorok,Angela P. Schoellig,Jacopo Panerati,Hehui Zheng,SiQi Zhou,James Xu,Amanda Prorok,Angela P. Schoellig
Robotic simulators are crucial for academic research and education as well as the development of safety-critical applications. Reinforcement learning environments— simple simulations coupled with a problem specification in the form of a reward function—are also important to standardize the development (and benchmarking) of learning algorithms. Yet, full-scale simulators typically lack portability ...
