HcPlu's Stars
shap/shap
A game theoretic approach to explain the output of any machine learning model.
antlr/antlr4
ANTLR (ANother Tool for Language Recognition) is a powerful parser generator for reading, processing, executing, or translating structured text or binary files.
marcotcr/lime
Lime: Explaining the predictions of any machine learning classifier
seungeunrho/minimalRL
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
dabeaz/ply
Python Lex-Yacc
caesar0301/treelib
An efficient implementation of tree data structure in pure python.
meituan/Meituan-INFORMS-TSL-Research-Challenge
ai-for-decision-making-tue/Job_Shop_Scheduling_Benchmark_Environments_and_Instances
A benchmarking repo with various solution methods to various machine scheduling problems
carpedm20/karel
Karel dataset for program synthesis and program induction
carpedm20/program-synthesis-rl-tensorflow
in progress
WEIYanbin1999/GITA
[NeurIPS 2024] GITA: Graph to Image-Text Integration for Vision-Language Graph Reasoning
mateoespinosa/remix
Rule Extraction Methods for Interactive eXplainability
WEIYanbin1999/KICGPT
[EMNLP 2023] KICGPT: Large Language Model with Knowledge in Context for Knowledge Graph Completion
YihongT/ITINERA
[EMNLP 2024 Industry Track & KDD UrbComp 2024 Best Paper Award] ITINERA: Integrating Spatial Optimization with Large Language Models for Open-domain Urban Itinerary Planning
bunelr/GandRL_for_NPS
Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis
TylerYep/stanfordkarel
Python Implementation of Karel for CS106A at Stanford
clvrai/leaps
Code for Learning to Synthesize Programs as Interpretable and Generalizable Policies in NeurIPS 2021
kavigupta/neurosym-lib
Neurosymbolic Library
grockious/deepsynth
DeepSynth: Automata Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning
RU-Automated-Reasoning-Group/pi-PRL
ICLR'22 Programmatic Reinforcement Learning
VITA-Group/DiffSES
[TPAMI] "Symbolic Visual Reinforcement Learning: A Scalable Framework with Object-Level Abstraction and Differentiable Expression Search", Wenqing Zheng*, S P Sharan*, Zhiwen Fan, Kevin Wang, Yihan Xi, Atlas Wang
ins-rl/insight
Official implementation of the paper "End-to-End Neuro-Symbolic Reinforcement Learning with Textual Explanations" (ICML 2024)
NTURobotLearningLab/HPRL
Hierarchical Programmatic Reinforcement Learning via Learning to Compose Programs (ICML 2023)
firepd/PI-Light
code for π-Light (AAAI2024)
lelis-research/prog_policies
General repository for programmatic policies with and without latent spaces. Author: Tales Carvalho.
Amsterdam-AI-Team/Accessible_Route_Planning
Repository to create an accessible network and plan routes given a set of user preferences.
LorenzoMattia/Explainable-Reinforcement-Learning-via-Reward-Decomposition
rubensolv/LocalLearnerIJCAI
Repository for paper Choosing Well Your Opponents: How to Guide the Synthesis of Programmatic Strategies IJCAI - 2023
LSaldyt/leaps_karel_standalone
A modernized standalone repository of the karel environment as presented in LEAPS: https://github.com/clvrai/leaps/
rubensolv/Library-Induced-Semantic-Spaces
Library-Induced Semantic Space