rainbow-dqn 开源项目推荐（45 个）

Lizhi-sjtu /DRL-code-pytorch

DRL算法的简洁pytorch实现，包括REINFORCE、A2C、DQN、PPO（离散和连续）、DDPG、TD 3、SAC。

olramde /DeepRL-TensorFlow2

使用 TensorFlow2 的各种流行深度强化学习算法的简单实现。

cyoon1729 /RLcycle

A library for ready-made reinforcement learning agents and reusable components for neat prototyping

THINK989 /Real-Time-Stock-Market-Prediction-using-Ensemble-DL-and-Rainbow-DQN

该项目在 GitHub 上没有填写描述

deligentfool /dqn_zoo

使用 Pytorch 实现各种 dqn 强化学习

olramde /DistRL-TensorFlow2

🐳 Implementation of various Distributional Reinforcement Learning Algorithms using TensorFlow2.

Sheng-J /DOM-Q-NET

Graph-based Deep Q Network for Web Navigation

kochlisGit /Autonomous-Vehicles-Adaptive-Cruise-Control

An implementation of an Autonomous Vehicle Agent in CARLA simulator, using TF-Agents

nslyubaykin /relax

ReLAx - Reinforcement Learning Applications Library

chucnorrisful /dqn

该项目在 GitHub 上没有填写描述

davide97l /Rainbow

Implementation and evaluation of the RL algorithm Rainbow to learn to play Atari games.

sshkhr /RBDoom

RBDoom is a Rainbow-DQN based agent for playing the first-person shooter game Doom

kochlisGit /Deep-RL-Frameworks

Comparison of different Deep Reinforcement Learning (DRL) Frameworks. This repository includes "tf-agents", "RLlib" and will soon support "acme" as well.

wegfawefgawefg /wegs-drl-baselines

Minimum viable reinforcement learning algorithms for your educational convenience.

RAI-Techno /drl_autonomous_exploration

Learning-based Active SLAM: Rainbow DQN agent with RTAB-Map for autonomous exploration in indoor environments.

TopAgrume /Atari-Rainbow-DQN

Reinforcement learning project for Atari Breakout

ashutoshtiwari13 /DeepQNetwork-Hub

Tensorflow - Keras /PyTorch Implementation ⚡️ of State-of-the-art DeepQN for RL Gym benchmarks 👨‍💻

willi-menapace /atari_reinforcement_learning

We use the Rainbow DQN model to build agents that play Ms-Pacman, Atlantis and Demon Attack. We make modifications to the model that allow much faster convergence on Ms-Pacman with respect to Deepmind's original paper and obtain comparable performance.

nslyubaykin /rainbow_for_2048

Playing 2048 with Rainbow agent

Cain15 /2D_Karting

A 2D racing game environment built with Pygame for experimenting with Reinforcement Learning algorithms — from Approximate Q-Learning to Rainbow DQN.