Comments (2)
It is simply a concatenation to the state of the actions taken by the drones in the last half second. Depending on the type of application and the size of the networks being used, the intent is to potentially speed-up/stabilize training (but it is not strictly necessary).
from gym-pybullet-drones.
Thank you for your explanation
from gym-pybullet-drones.
Related Issues (20)
- no attribute 'SIM_FREQ' HOT 18
- singleagent.py: user warning. Recommends transition from Open AI gym env to gymnasium env HOT 1
- No TakeOffAviary.py in gym-pybullet-drones/gym_pybullet_drones/envs /single_agent_rl/ HOT 1
- fail in reproducing the result of hover HOT 7
- Multiagent training HOT 1
- mutliagent.py allow 3D flight? HOT 3
- pybullet fails to install on python 3.10 venv HOT 2
- what could be the reason that example with betaflight does not work? HOT 1
- learn.py, expected performance, steps, and hardware? HOT 2
- unable to see logger file output at output_folder for learn.py HOT 3
- ModuleNotFoundError: No module named 'gym_pybullet_drones' HOT 3
- Have you ever comfirm controlling one drone with "rpm" using learn.py ? HOT 14
- PX4 integration HOT 1
- Cannot run simulation on linux Fedora HOT 9
- Custom training environment HOT 4
- Questions Related to Multiagent Evaluation HOT 8
- How can I use the NVIDIA GPU in Docker to run this project? HOT 2
- self.TIMESTEP not defined in BaseAviary Class HOT 1
- A Drag function mistake HOT 1
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from gym-pybullet-drones.