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Hello, my name is Alisson Kolling

Field of interests: AI, Robotics, RL

Skills ๐Ÿ› ๏ธ

  • Languages:ย  Python
  • DS/ML/DL: ย ย  PyTorch, Reinforcement Learning
  • Robotics: ย ย ย ย ย  ROS, Gazebo
  • DevOps:โ€‚ ย ย ย ย  Linux, Git, Docker

Experience ๐Ÿ‘”

Position Company Field Work Period
Researcher NAUTEC Robotics and AI 2023-04 โ€” present
Intern Augen Machine Learning 2022-08 โ€” 2023-02
Research Intern UFSM Robotics and AI 2021-08 โ€” 2023-02
Volunteer TauraBots Robotics 2018-07 โ€” 2023-02

Education ๐ŸŽ“

  • Control and Automation Engineering Bachelor's Degree @ UFSM (2015 - 2023)
  • Computer Engineering Master's Degree @ FURG (2023 - present)

Projects ๐Ÿพ

  • Parallel-Hydrone-DRL - application of distributed distributional deep reinforcement learning on drones
  • dimitri - Implementation of the Dimitri humanoid robot

Publications ๐Ÿ“œ

  • Depth-CUPRL: Depth-Imaged Contrastive Unsupervised Prioritized Representations in Reinforcement Learning for Mapless Navigation of Unmanned Aerial Vehicles. In: 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

  • Mapless Navigation of a Hybrid Aerial Underwater Vehicle with Deep Reinforcement Learning Through Environmental Generalization. In: 2022 Latin American Robotics Symposium (LARS)

  • Deterministic and Stochastic Analysis of Deep Reinforcement Learning for Low Dimensional Sensing-based Navigation of Mobile Robots. In: 2022 Latin American Robotics Symposium (LARS)

  • Deep Reinforcement Learning for Mapless Navigation of a Hybrid Aerial Underwater Vehicle with Medium Transition. In: 2021 IEEE International Conference on Robotics and Automation (ICRA)

Public talks ๐Ÿ—ฃ

  • Workshop about Deep Learning

  • Workshop about Deep Reinforcement Learning

  • Workshop about Reinforcement Learning

GitHub Stats โญ

Dani El-Ayyass' github stats

More information in my LinkedIn and Lattes ๐Ÿš€

Alisson Henrique Kolling's Projects

data_driven_science_python_demos icon data_driven_science_python_demos

IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by J. Nathan Kutz and Steven L. Brunton

elc1048 icon elc1048

Disciplina de Projeto de Sistemas Embarcados

path_controller icon path_controller

Trabalho para a disciplina de Introduรงรฃo ร  Robรณtica Inteligente

pyprobml icon pyprobml

Python code for "Probabilistic Machine learning" book by Kevin Murphy

transformers icon transformers

๐Ÿค— Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

world-models icon world-models

Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch

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