Data underlying the publication: MAVRL: Learn to Fly in Cluttered Environments with Varying Speed

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; lstm_dataset.zip is the collected data of many rollouts by an initial policy; RecurrentPPO_1.zip contains a initial policy and retrained policy; LSTM_110_9_0.zip is the training result of LSTM; AvoidBench.zip is the unity standalone file.

本数据集配套论文《MAVRL：基于变速度的复杂环境飞行学习》。本研究围绕基于强化学习的复杂环境自主飞行展开。本数据集共包含5个压缩文件：vae.zip为变分自编码器（Variational AutoEncoder）的训练结果；lstm_dataset.zip存储了初始策略生成的多组轨迹采样数据；RecurrentPPO_1.zip收录了初始策略与经再训练后的策略；LSTM_110_9_0.zip为长短期记忆网络（Long Short-Term Memory，LSTM）的训练结果；AvoidBench.zip为Unity引擎导出的独立运行文件。