jongkook-heo Goto Github PK
Name: Jong-Kook Heo
Type: User
Company: Korea University
Bio: Ph.D. Student(Korea Univ) Industrial and Management Engineering
Location: Seoul
Name: Jong-Kook Heo
Type: User
Company: Korea University
Bio: Ph.D. Student(Korea Univ) Industrial and Management Engineering
Location: Seoul
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).
PyTorch implementation of beam search decoding for seq2seq models
Unofficial PyTorch implementation of DeepMind's PNAS 2017 paper "Overcoming Catastrophic Forgetting"
PyTorch Implementation of REINFORCE for both discrete & continuous control
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow
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)
Official code for ICML 2024 paper, "RIME: Robust Preference-based Reinforcement Learning with Noisy Preferences" (ICML 2024 Spotlight)
PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay
Simple Implementation of RL by toy examples
Collection of reinforcement learning algorithms
Implementation of RT1 (Robotic Transformer) in Pytorch
Code for paper: Reward Uncertainty for Exploration in Preference-based Reinforcement Learning
SemiSupervisedLearning
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Code to accompany the paper "On Statistical Bias In Active Learning"
Unstructured Data Analysis (Graduate) @Korea University
A PyTorch-based library for semi-supervised learning (NeurIPS'21)
Transformer 이후 나온 Pretrained Language Model을 간단하게 구현하였음.
Code for AAAI2018 paper "Table-to-text Generation by Structure-aware Seq2seq Learning"
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.