Landing A Spacex Falcon Heavy Rocket
This is the code for "Landing a SpaceX Falcon Heavy Rocket" By Siraj Raval on Youtube
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Landing A Spacex Falcon Heavy Rocket | 195 | 6 years ago | 7 | Python | ||||||
| This is the code for "Landing a SpaceX Falcon Heavy Rocket" By Siraj Raval on Youtube | ||||||||||
| Rocket_lander_gym | 16 | 6 years ago | mit | Python | ||||||
| 💥💥 This is a easy installable extension for OpenAi Gym Environment. This simulates SpaceX Falcon landing. | ||||||||||
| Landing A Spacex Falcon Heavy Using Proximal Policy Optimization | 6 | 4 years ago | apache-2.0 | Python | ||||||
| Landing a SpaceX Falcon Heavy Rocket in simulation using Reinforcement learning. Reinforcement learning is a technique that lets an agent learn how best to act in an environment using rewards as its signal. OpenAI released a library called Gym that lets us train AI agents really easily. We'll also use Stable Baselines and gym libraries to build an RL agent capable of landing a rocket perfectly. The specific algorithm we will be using is called proximal policy optimization, this is an improved version of actor-critic algorithm. | ||||||||||
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