Pinned Repositories
2019-Autumn-recruitment-experience
2019届秋招面经集合
atari
AI research environment for the Atari 2600 games 🤖.
awesome-rl
Reinforcement learning resources curated
baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
BDQN-MxNet-Gluon
Efficient Exploration through Bayesian Deep Q-Networks
BeamerStyleSlides
🌈Beamer风格的幻灯片模板集。包含了PowerPoint和Keynote两套格式。
bootstrapped-DQN
Bootstrapped DQN implemented in Python with TensorFlow
bootstrapped-dqn-1
China_House
中国买房相关资料和项目整理，方便查看，持续更新中...
SA_DQN
State-Adversarial DQN (SA-DQN) for robust deep reinforcement learning (NeurIPS 2020, Spotlight)
THSWind's Repositories
THSWind/SA_DQN
State-Adversarial DQN (SA-DQN) for robust deep reinforcement learning (NeurIPS 2020, Spotlight)
THSWind/atari
AI research environment for the Atari 2600 games 🤖.
THSWind/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
THSWind/BeamerStyleSlides
🌈Beamer风格的幻灯片模板集。包含了PowerPoint和Keynote两套格式。
THSWind/bootstrapped-DQN
Bootstrapped DQN implemented in Python with TensorFlow
THSWind/Deep-Reinforcement-Learning-with-Double-Q-learning
📖 Paper: Deep Reinforcement Learning with Double Q-learning 🕹️
THSWind/DeepFaceLive
Real-time face swap for PC streaming or video calls
THSWind/DeepRL
Modularized Implementation of Deep RL Algorithms in PyTorch
THSWind/DeepRL-TensorFlow2
🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
THSWind/DeepRL_PyTorch
Deep Reinforcement learning codes for study. Currently there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.
THSWind/disentanglement_lib
disentanglement_lib is an open-source library for research on learning disentangled representations.
THSWind/dqn_pytorch
DQN with pytorch with on Breakout and SpaceInvaders
THSWind/fqf-iqn-qrdqn.pytorch
A PyTorch implementation of FQF, IQN and QR-DQN.
THSWind/IGN-Implicit-Generative-Networks
IGN : Implicit Generative Networks （ICMLA 2022）
THSWind/IQN-and-Extensions
PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER, Noisy layer and N-step bootstrapping.
THSWind/LeetCode-Go
✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解
THSWind/LeetcodeTop
汇总各大互联网公司容易考察的高频leetcode题🔥
THSWind/new-pac
科学上网专用
THSWind/PolicyAugmentation
Exploration Strategy for Deep Reinforcement Learning
THSWind/ptan
PyTorch Agent Net: reinforcement learning toolkit for pytorch
THSWind/PyTorch-A2C
General implementation of Advantage Actor Critic using Pytorch
THSWind/pytorch-a3c
PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
THSWind/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
THSWind/reinforcement-learning-1
Minimal and Clean Reinforcement Learning Examples
THSWind/reinforcement-learning-algorithms
This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)
THSWind/RL-on-Atari-Game
implement a DQN agent to play atari game breakout
THSWind/RLCodebase
RLCodebase: PyTorch Codebase For Deep Reinforcement Learning Algorithms
THSWind/tensorpack
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
THSWind/thswind.github.io
THSWind/Tic-Tac-Toe
A Q-learning implementation, to train an agent about tic-tac-toe game(wrote in tkinter)