jiamlu

ERNIE

Code for the NeurIPS 2023 Paper: Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms

IdMyPhBuildingFootprints

ML generated building footprints for Indonesia, Malaysia, and Philippines

awesome-gis

😎Awesome GIS is a collection of geospatial related sources, including cartographic tools, geoanalysis tools, developer tools, data, conference & communities, news, massive open online course, some amazing map sites, and more.

Awesome-GEE

A curated list of Google Earth Engine resources

gym-flp

Implements different discrete and continuous Facility Layout Problem representations

ofcourse

Order Fulfillment by Multi-Agent Reinforcement Learning

Courses

counterfactual_generative_networks

[ICLR'21] Counterfactual Generative Networks

eo-poverty-review

Directory of papers on Earth Observation (EO), Machine Learning (ML), and Causal Inference (CI)

verde

Processing and gridding spatial data, machine-learning style

srai

Spatial Representations for Artificial Intelligence - a Python library toolkit for geospatial machine learning focused on creating embeddings for downstream tasks

Environmental_Intelligence

Data for Environmental Intelligence: A mega list of Earth System Datasets covering earth observations, climate, water, forests, biodiversity, ecology, protected areas, natural hazards, marine and the tracking of UN's Sustainable Development Goals

earth2studio

Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows.

xformers

Hackable and optimized Transformers building blocks, supporting a composable construction.

x-transformers

A concise but complete full-attention transformer with a set of promising experimental features from various papers

ExchangeAgent

Training a stock exchange agent with Reinforcement Learning algorithms and Decision Transformer.

Contrastive-Decision-Transformers-using-Pytorch

Realization for architechture from "Contrastive Decision Transformers" paper using Pytorch and gymnasium

Actor-Critic-Alignment

Implementation of ``Actor-Critic Alignment for Offline-to-Online Reinforcement Learning''

EarnMore

D2C

D2C(Data-driven Control Library) is a library for data-driven control based on reinforcement learning.

urbanity

A network-based python package to understand and model urban complexity

Type-Based_Heirarchial_MARL_SC2

StarCraft 2 via Type Based Heirarchial Multi Agent Reinforcement Leanring

Graph_CAVs

The source code for our paper: Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges. This code is developed based on our previous repository TorchGRL.

MAGC-dynamic_electric_vehicle_charging_pricing

Multi-Agent Graph Convolutional Reinforcement Learning for Dynamic Electric Vehicle Charging Pricing

TransSimHub

TransSimHub is a lightweight Python library for simulating and controlling transportation systems.

InforMARL

Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation

DRL-urban-planning

A deep reinforcement learning (DRL) based approach for spatial layout of land use and roads in urban communities. (Nature Computational Science)

q-transformer

Implementation of Q-Transformer, Scalable Offline Reinforcement Learning via Autoregressive Q-Functions, out of Google Deepmind

Simple-Ride-Pooling-Simulator

Development of a Ride Pooling Heuristic and Simulation

DMA-RL4TSC

The source code of paper "Decentralized Neighbouring Information Fusion for Traffic Network Signal Control" and related baselines.