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Hi there, I'm Pierre Tassel 👋

  • 🔭 I’m currently working at the Prewave, Austria 🇦🇹
  • 🌱 Working and learning about LLM/NLP.
  • 👯 During my PhD, my research topic was about Reinforcement Learning applied to Combinatorial Optimization problem. I am still interested in the subject, drop a message if you want to collaborate!
  • 🏠 🇫🇷 Nice-> 🇦🇹 Klagenfurt (current)
  • 📫 How to reach me: [email protected], @tassel_pierre

Top Langs

Pierre TASSEL's Projects

analyse-matrice icon analyse-matrice

Analyse de performance d'un algorithme de calcul de produit matriciel

cleanrl icon cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features

clingo icon clingo

🤔 A grounder and solver for logic programs.

elgamal icon elgamal

An ElGamal implementation in Python

jobshopcpenv icon jobshopcpenv

A Constraint Programming Based Job-Shop Scheduling Reinforcement Learning Environment

jssenv icon jssenv

An OpenAi Gym environment for the Job Shop Scheduling problem.

knuthsconjecture icon knuthsconjecture

An android app to play with Donald Knuth's conjecture who stated that we can build any integer starting from 4 using only floor, square root and factorial

parallel_multi_shot_cp icon parallel_multi_shot_cp

A Parallel Constraint Programming Multi-Shot Decomposition Strategy for Large-Scale Job-Shop Scheduling

ray icon ray

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

rayenvwrapper icon rayenvwrapper

OpenAi's gym environment wrapper to vectorize them with Ray

slm-lab icon slm-lab

Modular Deep Reinforcement Learning framework in PyTorch.

sudokuapp icon sudokuapp

An android application to play and solve Sudoku

travail-encadre-de-recherche-master-1 icon travail-encadre-de-recherche-master-1

Ce dépot contient les traces de recherches pour mon Travail Encadré de Recherche de Master 1 en Informatique portant sur le comparatif des performances d’une application en fonction des paramètres de compilation utilisés et l'analyse des performances

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