pinghsieh

pinghsieh's Stars

• EmbersArc/gym-rocketlander

  A SpaceX Rocket Lander environment for OpenAI gym using Box2D

  Language:Python29843

• sinannasir/Power-Control-asilomar

  Asilomar 2020 code for Deep Actor-Critic Learning for Distributed Power Control in Wireless Mobile Networks

  Language:Python4314

• avisingh599/imitation-dagger

  [Reimplementation Ross et al 2011] An implementation of DAGGER using ConvNets for driving from pixels.

  Language:Python7420

• EmilienDupont/neural-processes

  Pytorch implementation of Neural Processes for functions and images :fireworks:

  Language:Jupyter Notebook22747

• ns3-plc-module/plc

  An ns-3 module for simulations of power line communication networks

  Language:Python2521

• qfettes/DeepRL-Tutorials

  Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

  Language:Jupyter Notebook1.1k323

• IBM/ushiriki-policy-engine-library

  User facing library for accessing the Ushiriki Policy Engine webservice API

  Language:Python69

• ShangtongZhang/DeepRL

  Modularized Implementation of Deep RL Algorithms in PyTorch

  Language:Python3.2k687

• tkn-tub/ns3-gym

  ns3-gym - The Playground for Reinforcement Learning in Networking Research

  Language:C++553199

• yrlu/reinforcement_learning

  Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.

  Language:Python15148

• yukezhu/tensorflow-reinforce

  Implementations of Reinforcement Learning Models in Tensorflow

  Language:Python487136

• MorvanZhou/Reinforcement-learning-with-tensorflow

  Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

  Language:Python9k5k

• ghliu/pytorch-ddpg

  Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch

  Language:Python581156

• david-abel/simple_rl

  A simple framework for experimenting with Reinforcement Learning in Python.

  Language:Python27698

• higgsfield/RL-Adventure

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

  Language:Jupyter Notebook3.1k589

• Silvicek/distributional-dqn

  Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regression' based on OpenAi DQN baselines.

  Language:Python13226

• iosband/psrl_2013

  Language:TeX92

• josejimenezluna/pyGPGO

  Bayesian optimization for Python

  Language:Python24261

• hill-a/stable-baselines

  A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

  Language:Python4.2k723

• sfujim/TD3

  Author's PyTorch implementation of TD3 for OpenAI gym tasks

  Language:Python1.8k440

• openai/baselines

  OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

  Language:Python15.9k4.9k

• pemami4911/deep-rl

  Collection of Deep Reinforcement Learning algorithms

  Language:Python298192

• google-deepmind/neural-processes

  This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).

  Language:Jupyter Notebook989149

• HIPS/Spearmint

  Spearmint Bayesian optimization codebase

  Language:Python1.6k329

• pmorenoz/HetMOGP

  Heterogeneous Multi-output Gaussian Processes

  Language:Jupyter Notebook5117

• econtal/gp-optimization-matlab

  MATLAB implementation of my Bayesian Optimization algorithms

  Language:Matlab111

• 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:Python3.7k830

• brendanator/atari-rl

  Atari - Deep Reinforcement Learning algorithms in TensorFlow

  Language:Python13531

• google-deepmind/scalable_agent

  A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.

  Language:Python993161

• vkurenkov/hierarchical-skill-acquisition

  Implementation of the Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning by Tianmin Shu, Caiming Xiong, and Richard Socher

  Language:Python11