guoshicheng's Projects
Implementation and experiments for AdamW on Pytorch
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
An index of algorithms for offline reinforcement learning (offline-rl)
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Exploring two approaches to Bayesian reinforcement learning. The first is based on Markov decision processes, and the second is an application of Gaussian processes to Gaussian process temporal difference (GPTD).
Collection of the latest, greatest, deep learning optimizers (for Pytorch) - CNN, NLP suitable
c的学习
Implemented Q-learning with linear function approximation to solve the mountain car environment
C/C++写的小游戏: 2048、FlappyBird、通讯录、终端 IM、 界面 IM、仿 QQ 简版聊天
Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51
PyTorch implementations of deep reinforcement learning algorithms and environments
Hands-on Deep Reinforcement Learning, published by Packt
Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
DQN based RL agent for Mountain Car
Modularized Implementation of Deep RL Algorithms in PyTorch
Deep Reinforcement Learning
Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.
强化学习中文教程(蘑菇书),在线阅读地址:https://datawhalechina.github.io/easy-rl/
Lightweight and scalable deep reinforcement learning using PyTorch. 🔥
Experiments with emphasis and least-squares temporal difference learning
FinRL: The first open-source project for financial reinforcement learning. Please star. 🔥
基于深度强化学习的原神自动钓鱼AI
c++经典项目贪吃蛇游戏控制台版,详细注释
Config files for my GitHub profile.
A toolkit for developing and comparing reinforcement learning algorithms.