Modularized Implementation of Deep RL Algorithms in PyTorch

weather radar data processing - python package

A PyTorch implementation of Rainbow DQN agent

SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning

A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartPole, LunarLander, and MountainCar.

TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x

High-quality implementations of deep reinforcement learning algorithms for experiments

A rainbow brackets plugin for SublimeText4.

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"

'Semi-Animated' Bibata cursors with rainbow colors

Deep reinforcement learning baselines base on OpenAI. More algorithms are included, such as Rainbow: Combining Improvements in Deep Reinforcement Learning

Simple Reinforcement Learning Framework

PyTorch agents and tools for (Deep) Reinforcement Learning

PyTorch - Implicit Quantile Networks - Quantile Regression - C51

General-Purpose Reinforcement Learning

BasicRL: easy and fundamental codes for deep reinforcement learning。It is an improvement on rainbow-is-all-you-need and OpenAI Spinning Up.

OpenAI Gym compatible reinforcement learning environment for Space Fortress https://arxiv.org/abs/1809.02206

An extremely fast library to vaporize your text and many more! 🌈

Rainbow to solve blokus gym env

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