blender-quadcopter-fpv
safe-control-gym
| blender-quadcopter-fpv | safe-control-gym | |
|---|---|---|
| 2 | 2 | |
| 9 | 529 | |
| - | 5.3% | |
| 0.0 | 6.1 | |
| about 3 years ago | 5 days ago | |
| Python | Python | |
| GNU General Public License v3.0 only | MIT License |
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blender-quadcopter-fpv
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Found a FPV mode Addon for blender, this breathes a whole new life into an old project of mine.
I found it on GitHubFPV add on
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One of my Blender projects in glorious FPV Quadcopter mode
Using and Addon I found on github yesterday I booted up an old project and got my FPV controller plugged in, worked first try I was so surprised.
safe-control-gym
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Considering a PhD in control theory
They also have an early stage git repo: https://github.com/utiasDSL/safe-control-gym
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Does anyone know dynamics model of gym environments?
They don't provide them. You will need to look into the code and derive them yourself. Alternatively, a recent gym environment attempts to provide symbolic models using CasADi, but is currently limited to only a couple of environments.
What are some alternatives?
maro - Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.
stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
habitat-api - A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators. [Moved to: https://github.com/facebookresearch/habitat-lab]
rl-baselines3-zoo - A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
ViTs-vs-CNNs - [NeurIPS 2021]: Are Transformers More Robust Than CNNs? (Pytorch implementation & checkpoints)
gym-pybullet-drones - PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control