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---
language: en
license: mit
library_name: tensoraerospace
tags:
- aerospace
- reinforcement-learning
- control
- gymnasium
- tensorflow
- pytorch
---
# TensorAeroSpace — Aerospace RL & Control Organization
Realistic aerospace environments and modern RL/control algorithms for training flight control systems. Open‑source, MIT‑licensed.
- Website & Docs: https://tensoraerospace.readthedocs.io/
- GitHub: https://github.com/TensorAeroSpace/TensorAeroSpace
- PyPI: https://pypi.org/project/tensoraerospace/
## What we build
- Environments: F‑16, B747, X‑15, rockets, satellites (state‑space models, linear/linearized)
- Algorithms: IHDP, DQN, A3C/A2C‑NARX, PPO, SAC, DDPG, GAIL, PID, MPC
- Tooling: benchmarking, metrics, examples, docs, and lessons
## Featured model(s)
- IHDP agent for F‑16 longitudinal alpha tracking — TensorAeroSpace/ihdp‑f16
Quick use (IHDP):
```python
import os
import numpy as np
import gymnasium as gym
from tensoraerospace.agent.ihdp.model import IHDPAgent
agent = IHDPAgent.from_pretrained(
"TensorAeroSpace/ihdp-f16", access_token=os.getenv("HF_TOKEN")
)
env = gym.make(
"LinearLongitudinalF16-v0",
number_time_steps=2002,
initial_state=[[0],[0],[0]],
reference_signal=np.zeros((1, 2002)),
use_reward=False,
state_space=["theta","alpha","q"],
output_space=["theta","alpha","q"],
control_space=["ele"],
tracking_states=["alpha"],
)
obs, info = env.reset()
ref = env.unwrapped.reference_signal
for t in range(ref.shape[1]-3):
u = agent.predict(obs, ref, t)
obs, r, terminated, truncated, info = env.step(np.array(u))
if terminated or truncated:
break
```
## Install
```bash
pip install tensoraerospace
```
## Save & share your models
All major agents support saving locally and pushing to the Hub:
```python
from tensoraerospace.agent.sac.sac import SAC
agent = SAC(env)
agent.train(num_episodes=1)
# Save + push to Hub
folder = agent.save_pretrained("./checkpoints")
agent.push_to_hub("<org>/<model-name>", base_dir="./checkpoints", access_token="hf_...")
```
## Learn more
- Quick start & examples: ./example/
- English docs home: ./docs/en/index.md
- Russian docs home: ./docs/ru/index.md
## License
MIT — free for academia and industry.
---
Source: TensorAeroSpace team org page on the Hub — https://huggingface.co/TensorAeroSpace
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