hilberthu

hilberthu's Stars

• changkun/modern-cpp-tutorial

  📚 Modern C++ Tutorial: C++11/14/17/20 On the Fly | https://changkun.de/modern-cpp/

  Language:C++23.9k6211313k

• DLR-RM/stable-baselines3

  PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

  Language:Python8.8k631.5k1.7k

• sweetice/Deep-reinforcement-learning-with-pytorch

  PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

  Language:Python3.9k3634842

• ikostrikov/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).

  Language:Python3.6k67229829

• higgsfield/RL-Adventure

  Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

  Language:Jupyter Notebook3k7222589

• werner-duvaud/muzero-general

  MuZero

  Language:Python2.5k74175607

• P3TERX/GeoLite.mmdb

  MaxMind's GeoIP2 GeoLite2 Country, City, and ASN databases

  2.1k6014283

• oschwald/geoip2-golang

  Unofficial MaxMind GeoIP2 Reader for Go

  Language:Go1.9k3358193

• nikhilbarhate99/PPO-PyTorch

  Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

  Language:Python1.6k961342

• rail-berkeley/softlearning

  Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

  Language:Python1.2k37103238

• PacktPublishing/Deep-Reinforcement-Learning-Hands-On-Second-Edition

  Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt

  Language:Jupyter Notebook1.1k2544534

• openai/random-network-distillation

  Code for the paper "Exploration by Random Network Distillation"

  Language:Python8722620160

• Neveryu/vue-cms

  基于 Vue 和 ElementUI 构建的一个企业级后台管理系统

  Language:TypeScript6282210230

• koulanurag/muzero-pytorch

  Pytorch Implementation of MuZero

  Language:Python33521656

• tarequeh/DES

  Implementation of Data Encryption Standard (DES) in C

  Language:C258158140

• kwotsin/TensorFlow-Xception

  TensorFlow implementation of the Xception Model by François Chollet

  Language:Python206151190

• Unity-Technologies/com.unity.services.samples

  A collection of working examples of Unity Gaming Services.

  14119056

• vwxyzjn/invalid-action-masking

  Source Code for A Closer Look at Invalid Action Masking in Policy Gradient Algorithms

  Language:Python1342322

• liuanji/WU-UCT

  A novel parallel UCT algorithm with linear speedup and negligible performance loss.

  Language:Python1054824

• reionwong/QNavigationWidget

  this is a simple navigation widget for qt.

  Language:C++768039

• xiyoo0812/quanta

  A Game Server Engine based on Lua!

  Language:C674623

• xlnwel/model-free-algorithms

  TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x

  Language:Python604210

• Akagi201/hmac-sha1

  Standalone implementation of `HMAC()` + `EVP_sha1()` in `OpenSSL`

  Language:C534128

• lyokato/cpp-cryptlite

  C++ library that supports base64-encoding, sha1/sha256 hashing, and hmac calculation

  Language:C++484214

• MoMe36/BranchingDQN

  BranchingDQN

  Language:Python48335

• mpeterv/sha1

  Implementation of SHA-1 and HMAC-SHA-1 in pure Lua.

  Language:Lua323310

• crafts-dev/ebooks-2

  ebooks

  21202

• YangShengqi/cartpole_ppo_lstm

  Language:Python13202

• srinivr/rl

  Implementation of DQN, n-step DQN and TreeQN

  Language:Python3101

• ZhouMM-jervis/Multi-step-DQN

  Language:Python22