phillip
deepdrive
| phillip | deepdrive | |
|---|---|---|
| 2 | 1 | |
| 539 | 873 | |
| - | 0.0% | |
| 0.0 | 0.0 | |
| over 1 year ago | 7 months ago | |
| Python | Python | |
| GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
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phillip
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[P] Imitation Learning (+RL) in Super Smash Bros Melee for Humanlike Agents
Project Nabla is an AI trained with deep neural networks using behavioral cloning and deep reinforcement learning self-play, similar to AlphaStar. It is enabled by the recent launch of a suite of software tools for the game known as "Slippi" which allow for us to save human replays. We train on a subset of ~100k tournament games. It is similar to the older Phillip project, which did not have the benefit of Slippi when it was created (and doesn't use any human replays).
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Imma write a machine learning program and let it run for a month
Could take a look at this https://github.com/vladfi1/phillip
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?
DI-sheep - 羊了个羊 + 深度强化学习（Deep Reinforcement Learning + 3 Tiles Game)
carla - Open-source simulator for autonomous driving research.
simulator - A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles
AirSim - Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
Super-mario-bros-PPO-pytorch - Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
tensorforce - Tensorforce: a TensorFlow library for applied reinforcement learning
simglucose - A Type-1 Diabetes simulator implemented in Python for Reinforcement Learning purpose
cleanrl - High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
dogfight-sandbox-hg2 - Air to air combat sandbox, created in Python 3 using the HARFANG 3D 2 framework.
muzero-general - MuZero
Autonomous-Parking - Automatic parallel parking system including path planning, path tracking, and parallel parking in a designed environment written in python. [Moved to: https://github.com/Pandas-Team/Automatic-Parking]
Competitive-Programming