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Source code for the paper "Socialbots on Fire: Modeling Adversarial Behaviors of Socialbots via Multi-Agent Hierarchical Reinforcement Learning." (Web Conference 2022)
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
Source code for "Context-Specific Representation Abstraction for Deep Option Learning"
Learning Invariant Representations for Reinforcement Learning without Reconstruction
Deep Graph Infomax (https://arxiv.org/abs/1809.10341)
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
Implemenation of the HIERarchical imagionation On Structured State Space Sequence Models (HIEROS) paper
Code for "Hierarchical Skills for Efficient Exploration" HSD-3 Algorithm and Baselines
Source code of ICML'22 paper: FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting
Keras implementation of Legendre Memory Units
Image-based gridworld experiment for learning Markov state abstractions
Source code to reproduce experiments from Mendez et al., ICLR '22
Simple and easily configurable grid world environments for reinforcement learning
This repository contains code to accompany the paper "Nearly-Optimal Hierarchical Clustering for Well-Clustered Graphs", published in ICML 2023.
Repository for the paper "Planning to Explore via Self-Supervised World Models"
RE3: State Entropy Maximization with Random Encoders for Efficient Exploration
[CoRL 2022] Official implementation of the publication Residual Skill Policies: Learning an Adaptable Skill-based Action Space for Reinforcement Learning for Robotics
Code for experimenting with state and action abstractions in reinforcement learning.
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
AAAI-22 paper: SimSR: Simple Distance-based State Representationfor Deep Reinforcement Learning
Hierarchical State Abstraction based on Structural Information Principles
Open code for Structural Optimization
Role-based MARL Framework by Structural Information Principle
Successor Options is an option discovery framework for Reinforcement 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.