%0 Generic
%A Yu, Hang
%A de Wagter, Christophe
%A De Croon, Guido
%D 2024
%T  Data underlying the publication: MAVRL: Learn to Fly in Cluttered Environments with Varying Speed
%U 
%R 10.4121/a21231b6-f867-40df-962d-27f9dc25f57a.v1
%K Obstacle avoidance
%K Reinforcement learning
%K Varying speed
%K Latent space
%K autonomous drone
%K unmanned aerial vehicle (UAV)
%K aerial robotics
%X <p>Datasets for paper of 'MAVRL: Learn to Fly in Cluttered Environments with Varying Speed'. This research is about how to fly in a cluttered environment based on reinforcement learning. There are 5 .zip files in this dataset: vae.zip is the training result of Variational AutoEncoder; <a href="https://data.4tu.nl/file/a21231b6-f867-40df-962d-27f9dc25f57a/4c0f595f-ec71-4c39-905e-969cdbacfbc0" target="_blank">lstm_dataset.zip</a> is the collected data of many rollouts by an initial policy; <a href="https://data.4tu.nl/file/a21231b6-f867-40df-962d-27f9dc25f57a/fcac02c7-e2ef-41c4-bd33-ca20dbb12fdf" target="_blank">RecurrentPPO_1.zip</a> contains a initial policy and retrained policy; <a href="https://data.4tu.nl/file/a21231b6-f867-40df-962d-27f9dc25f57a/a880ad98-9598-4aab-8b0e-302682aef97a" target="_blank">LSTM_110_9_0.zip</a> is the training result of LSTM; <a href="https://data.4tu.nl/file/a21231b6-f867-40df-962d-27f9dc25f57a/f61dfc92-7659-4637-a355-e119a9ec4ac5" target="_blank">AvoidBench.zip</a> is the unity standalone file.</p>
%I 4TU.ResearchData