multirotor
deepdrive
multirotor | deepdrive | |
---|---|---|
2 | 1 | |
12 | 874 | |
- | 0.2% | |
7.5 | 0.0 | |
6 months ago | 7 months ago | |
Python | Python | |
- | GNU General Public License v3.0 or later |
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multirotor
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Show HN: I wrote a multicopter simulation library in Python
* Documentation: https://multirotor.readthedocs.io/en/latest/
* Source code: https://github.com/hazrmard/multirotor
* Demo/Quickstart: https://multirotor.readthedocs.io/en/latest/Quickstart.html
deepdrive
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Is it possible to train a self driving car on google colab?
I've been trying for a while now and I started thinking it may not be possible. If anyone has managed to train a self-driving car simulator using openai gym on google colab(preferably), or on any remote server (AWS, GCP, ...) please let me know. So far, I tried carla, airsim, svl, deepdrive and they are all equally useless unless run locally with a gui. I'd really appreciate if someone suggests some way that actually can make it possible.
What are some alternatives?
rlcard - Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
carla - Open-source simulator for autonomous driving research.
maze - Maze Applied Reinforcement Learning Framework
simulator - A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles
simglucose - A Type-1 Diabetes simulator implemented in Python for Reinforcement Learning purpose
AirSim - Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
HighwayEnv - A minimalist environment for decision-making in autonomous driving
Super-mario-bros-PPO-pytorch - Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
loopquest - A Production Tool for Embodied AI
tensorforce - Tensorforce: a TensorFlow library for applied reinforcement learning
cleanrl - High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)