jongkook-heo Goto Github PK

airsim

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

anomalydetection

b_pref

causal-confusion

A toolkit for developing and comparing reinforcement learning algorithms.

cdan

Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)

cnn_tutorial

CNN Architectures Implementation

control-pcgrl

Train or evolve controllable and diverse level-generators.

cql

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

crawling

Python Web Crawler with BeautifulSoup and Selenium

deep_rl_with_pytorch

A pytorch tutorial for DRL(Deep Reinforcement Learning)

deeplearningzerotoall

TensorFlow Basic Tutorial Labs

deeprl-tutorials

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

deeprl_pytorch

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

dig

A library for graph deep learning research

dimensionalityreduction

dmp

dppo

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

dqn-atari-agents

DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow, and DRQN

drug_design_models

This project is a reimplementation of the models introduced in the following papers: "Multiobjective de novo drug design with recurrent neural networks and nondominated sorting", "REINVENT 2.0: An AI Tool for De Novo Drug Design", "Hierarchical generation of molecular graphs using structural motifs", "Mol-CycleGAN: a generative model for molecular optimization", "Multi-objective de novo drug design with conditional graph generative model" and "Graph convolutional policy network for goal-directed molecular graph generation".

ensemblelearning

epic

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

faster_rcnn_pytorch

Faster RCNN with PyTorch

gpt-2-pytorch

Simple Text-Generator with OpenAI gpt-2 Pytorch Implementation

graph-generation

GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models

graphgym

Platform for designing and evaluating Graph Neural Networks (GNN)

graphrnn

gym-pcgrl

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

hindsight-experience-replay

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

implicit_q_learning

inverse-preference-learning