JongKook-Heo

AirSim

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

CNN_tutorial

CNN Architectures Implementation

Crawling

Python Web Crawler with BeautifulSoup and Selenium

DeepLearningZeroToAll

TensorFlow Basic Tutorial Labs

faster_rcnn_pytorch

Faster RCNN with PyTorch

hindsight-experience-replay

This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.

NLP-Tutorial

NLP-tutorial

pyfashion

RL-Tutorial

Simple Implementation of RL by toy examples

wiki2bio

Code for AAAI2018 paper "Table-to-text Generation by Structure-aware Seq2seq Learning"

JongKook-Heo/AnomalyDetection

JongKook-Heo/B_Pref

JongKook-Heo/causal-confusion

A toolkit for developing and comparing reinforcement learning algorithms.

JongKook-Heo/control-pcgrl

Train or evolve controllable and diverse level-generators.

JongKook-Heo/CQL

PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and continuous action spaces.

JongKook-Heo/DeepRL_PyTorch

Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.

JongKook-Heo/DimensionalityReduction

JongKook-Heo/DPPO

Official implementation of "Direct Preference-based Policy Optimization without Reward Modeling" (NeurIPS 2023)

JongKook-Heo/EnsembleLearning

JongKook-Heo/epic

Implements the Equivalent-Policy Invariant Comparison (EPIC) distance for reward functions.

JongKook-Heo/gym-pcgrl

A package for "Procedural Content Generation via Reinforcement Learning" OpenAI Gym interface.

JongKook-Heo/inverse-preference-learning

JongKook-Heo/K18-week10-spacerocks

JongKook-Heo/Kernel-based-Learning

Kernel SVM Implementation for Molecule Dataset

JongKook-Heo/LG_natural_language_processing_day24

JongKook-Heo/mario-gpt

[Neurips 2023] Generating Mario Levels with GPT2. Code for the paper "MarioGPT: Open-Ended Text2Level Generation through Large Language Models" https://arxiv.org/abs/2302.05981

JongKook-Heo/MRN

JongKook-Heo/ms-level-gen

Start Small: Training Controllable Game Level Generators without Training Data by Learning at Multiple Sizes

JongKook-Heo/multi-sensor-FDII-health-forecasting-for-autonomous-vehicles

An Extension of A2D2 dataset by Audi with augmented sensor faults and different degradation paths

JongKook-Heo/Offline-Pre-trained-Multi-Agent-Decision-Transformer

JongKook-Heo/oprl

Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning

JongKook-Heo/paired

PAIRED in PyTorch 🔥

JongKook-Heo/PALM-E

Implementation of "PaLM-E: An Embodied Multimodal Language Model"

JongKook-Heo/PaLM-rlhf-pytorch

Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM

JongKook-Heo/QPA

JongKook-Heo/robotic-transformer-pytorch

Implementation of RT1 (Robotic Transformer) in Pytorch

JongKook-Heo/rune

Code for paper: Reward Uncertainty for Exploration in Preference-based Reinforcement Learning

JongKook-Heo/Semi-SupervisedLearning

SemiSupervisedLearning

JongKook-Heo/SURF

JongKook-Heo/TorchSSL

A PyTorch-based library for semi-supervised learning (NeurIPS'21)