Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
- Updated
Oct 15, 2023 - Python
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
Trax — Deep Learning with Clear Code and Speed
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
Minimal and Clean Reinforcement Learning Examples
《大语言模型》作者:赵鑫,李军毅,周昆,唐天一,文继荣
Tensorforce: a TensorFlow library for applied reinforcement learning
Modularized Implementation of Deep RL Algorithms in PyTorch
Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
PPO x Family DRL Tutorial Course(决策智能入门级公开课:8节课帮你盘清算法理论,理顺代码逻辑,玩转决策AI应用实践 )
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
Artificial intelligence for the Snake game.
Add a description, image, and links to the deep-reinforcement-learning topic page so that developers can more easily learn about it.
To associate your repository with the deep-reinforcement-learning topic, visit your repo's landing page and select "manage topics."