Pinned Repositories
ape-x
This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"
books
C51-DDPG
This is a TensorFlow implementation of DeepMind's A Distributional Perspective on Reinforcement Learning.(C51-DDPG)
c51-pytorch
d2l-en
Dive into Deep Learning: an interactive deep learning book with code, math, and discussions
d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论（STAT 157）”教材。
Data-Analysis
Data Science Using Python
Deep-Reinforcement-Learning-Hands-On
Hands-on Deep Reinforcement Learning, published by Packt
Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
DeepRL
Modularized Implementation of Deep RL Algorithms in PyTorch
titi2338432's Repositories
titi2338432/ape-x
This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"
titi2338432/books
titi2338432/d2l-en
Dive into Deep Learning: an interactive deep learning book with code, math, and discussions
titi2338432/d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论（STAT 157）”教材。
titi2338432/Data-Analysis
Data Science Using Python
titi2338432/Deep-Reinforcement-Learning-Hands-On
Hands-on Deep Reinforcement Learning, published by Packt
titi2338432/Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
titi2338432/DeepRL
Modularized Implementation of Deep RL Algorithms in PyTorch
titi2338432/distributional-dqn
Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regression' based on OpenAi DQN baselines.
titi2338432/ElegantRL
Lightweight, efficient and stable implementations of deep reinforcement learning algorithms using PyTorch. 🔥
titi2338432/FinRL
FinRL: The first open-source project for financial reinforcement learning. Please star. 🔥
titi2338432/FinRL-Meta
titi2338432/Learning-Reinforcement-Learning
titi2338432/Lihang
Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]
titi2338432/lihang-code
《统计学习方法》的代码实现
titi2338432/lihang-code-master
李航统计学习方法课后习题代码
titi2338432/nndl.github.io
《神经网络与深度学习》 Neural Network and Deep Learning
titi2338432/PySnooper
Never use print for debugging again
titi2338432/pytorch-a2c-ppo-acktr-gail
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).
titi2338432/pytorch-A3C
Simple A3C implementation with pytorch + multiprocessing
titi2338432/pytorch-a3c-1
PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
titi2338432/pytorch-book
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation
titi2338432/ray
A fast and simple framework for building and running distributed applications.
titi2338432/reinforcement-learning-algorithms
This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, A3C, PPO, TRPO. (More algorithms are still in progress)
titi2338432/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
titi2338432/rlMarketTiming
强化学习股市择时策略实验项目
titi2338432/spinningup
An educational resource to help anyone learn deep reinforcement learning.
titi2338432/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
titi2338432/Stock-Trading-Visualization
A simple, yet elegant visualization of our stock trading RL agent environment.
titi2338432/torch-light
Deep-learning by using Pytorch. Basic nns like Logistic, CNN, RNN, LSTM and some examples are implemented by complex model.