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adversarial_socialbots_www22

Source code for the paper "Socialbots on Fire: Modeling Adversarial Behaviors of Socialbots via Multi-Agent Hierarchical Reinforcement Learning." (Web Conference 2022)

attackfakenews

autoformer

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

cradol

Source code for "Context-Specific Representation Abstraction for Deep Option Learning"

deep_bisim4control

Learning Invariant Representations for Reinforcement Learning without Reconstruction

dgi

Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

dynamics-aware-embeddings

geneticalgorithmpython

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

hieros

Implemenation of the HIERarchical imagionation On Structured State Space Sequence Models (HIEROS) paper

hsd3

Code for "Hierarchical Skills for Efficient Exploration" HSD-3 Algorithm and Baselines

icml2022-fedformer

Source code of ICML'22 paper: FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting

keras-lmu

Keras implementation of Legendre Memory Units

markov-state-abstractions

Image-based gridworld experiment for learning Markov state abstractions

mendez2022modularlifelongrl

Source code to reproduce experiments from Mendez et al., ICLR '22

minigrid

Simple and easily configurable grid world environments for reinforcement learning

nearly-optimal-hierarchical-clustering-for-well-clustered-graphs

This repository contains code to accompany the paper "Nearly-Optimal Hierarchical Clustering for Well-Clustered Graphs", published in ICML 2023.

plan2explore

Repository for the paper "Planning to Explore via Self-Supervised World Models"

re3

RE3: State Entropy Maximization with Random Encoders for Efficient Exploration

reskill

[CoRL 2022] Official implementation of the publication Residual Skill Policies: Learning an Adaptable Skill-based Action Space for Reinforcement Learning for Robotics

rl_abstraction

Code for experimenting with state and action abstractions in reinforcement learning.

robosuite

robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

si2af

si2e

siasm

simsr

AAAI-22 paper: SimSR: Simple Distance-based State Representationfor Deep Reinforcement Learning

sird

sisa

Hierarchical State Abstraction based on Structural Information Principles

so-et

Open code for Structural Optimization

sr-marl

Role-based MARL Framework by Structural Information Principle

successoroptions

Successor Options is an option discovery framework for Reinforcement Learning