fteicht's Stars
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
James-Yu/LaTeX-Workshop
Boost LaTeX typesetting efficiency with preview, compile, autocomplete, colorize, and more.
google-deepmind/graph_nets
Build Graph Nets in Tensorflow
StefanScherer/windows-docker-machine
Work with Windows containers and LCOW on Mac/Linux/Windows
aibasel/downward
The Fast Downward domain-independent classical planning system
aiplan4eu/unified-planning
The AIPlan4EU Unified Planning Library
airbus/scikit-decide
AI framework for Reinforcement Learning, Automated Planning and Scheduling
AI-Planning/planutils
General library for setting up linux-based environments for developing, running, and evaluating planners.
deel-ai/LARD
A runway dataset and a generator of synthetic aerial images with automatic labeling.
JuliaPlanners/PDDL.jl
Julia parser, interpreter and compiler interface for the Planning Domain Definition Language (PDDL). Planners not included.
paulalmasan/DRL-GNN-PPO
PPO implementation of the DRL agent used in the paper "Deep Reinforcement Learning meets Graph Neural Networks: exploring a routing optimization use case"
RodrigoToroIcarte/reward_machines
qxcv/asnets
Source for Action Schema Networks paper (AAAI'18)
airbus/decomon
ArchieGertsman/spark-sched-sim
A Gymnasium environment for simulating job scheduling in Apache Spark
kk-55/tf-gnn-example-for-rllib
This repo shows an example how TF-GNN can be incorporated for graph (space) use cases in RLlib
RobbertReijnen/DR-ALNS
DillonZChen/goose
Learning for planning architecture using both classical and deep learning methods. [AAAI-24, ICAPS-24]
erachelson/seq_dec_mak
class on sequential decision making in AI