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Modularized Implementation of Deep RL Algorithms in PyTorch
Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
A PyTorch implementation of Rainbow DQN agent
An Arduino based music visualizer using the FastLED library and a strip of individually addressable LEDs
Because everybody loves rainbows.
PHP API which allows you to search players and get their R6 stats
一个在你编程时疯狂称赞你的 IDEA扩展插件,兼容VSCode版本语音包 | An IDEA extension that keeps giving you compliment while you are coding, it will checks…
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
Simple hack to display the colors of the rainbow flag in the GitHub language bar. #lovewins
Rainbow is a scriptable, cross-platform, 2D game engine.
Sitecore Courier aims to fill the gap between the development and production environments when building websites with Sitecore CMS.
A Livesplit-inspired speedrunning split timer for Linux/macOS terminal. Supports global hotkeys.
TD3, SAC, IQN, Rainbow, PPO, Ape-X, NoisyNets, PER, etc
AKA the connected catapult!
Deep reinforcement learning baselines base on OpenAI. More algorithms are included, such as Rainbow: Combining Improvements in Deep Reinforcement Learning
r6operators is a collection of high-quality vectorized Rainbow Six: Siege Operator icons & metadata for Node.js
Customisable Unified Physical Simulations (CUPS) for Reinforcement Learning. Experiments run on the ai2thor environment (http://ai2thor.allenai.org/) e.g. using A3C, RainbowDQN and A3C_GA (Gated Attention multi-modal fusion) for Task-Oriented Language Grounding (tasks specified by natural language instructions) e.g. "Pick up the Cup or else"
Add a description, image, and links to the rainbow topic page so that developers can more easily learn about it.
To associate your repository with the rainbow topic, visit your repo's landing page and select "manage topics."
