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View Code? Open in Web Editor NEWDeep Reinforcement Learning based autonomous navigation in realistic simulation environments.
License: GNU Affero General Public License v3.0
Deep Reinforcement Learning based autonomous navigation in realistic simulation environments.
License: GNU Affero General Public License v3.0
Hi,
I'd like to consult you two questions. Where are the number of episode and the step size of each episode defined? Can you share the plot file of the result(such as loss、mean reward、success rate )?
Thank you very much, my friend
1.I ran your code to understand that the size of each room in the airsim environment is 3.7 * 3.7 * 3.7, the mezzanine channel mouth between rooms rh=0.55, and in env_config.yml, offset represents x coordinates, some are 20, 32 I can't understand.
2.I want to know how to draw trajectories of the agent trained using depth and stacked gray images?
Sorry to bother you, can you give me some help. My mail is [email protected].
Hello, I noticed that there is only an executable file named "TrainEnv.exe" in the compressed package of TrainEnv. I would like to ask, can the environment be edited by myself? Just like the block environment that comes with Airsim.
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