Marin Vlastelica – Medium

Marin Vlastelica

Published in
Towards Data Science

Neuro-algorithmic Policies: Can Combinatorics Help Reinforcement Learning?

In this blog post we explore an application of blackbox differentiation to the setting of imitation learning, which leads to considerable…

Apr 11, 2022

Neuro-algorithmic Policies: Can Combinatorics Help Reinforcement Learning?

Apr 11, 2022

Published in
Towards Data Science

Understanding Monte Carlo Estimation

Monte Carlo estimation is an essential part of a machine learning engineers’ toolbox.

May 2, 2021

Understanding Monte Carlo Estimation

May 2, 2021

Published in
Towards Data Science

Fundamental Problems of Probabilistic Inference

Why should you care about sampling if you are a machine learning practitioner?

Aug 26, 2020

Fundamental Problems of Probabilistic Inference

Aug 26, 2020

Published in
Towards Data Science

No Stress Gaussian Processes

How do you deal with a distribution over an infinite number of functions?

Aug 23, 2020

No Stress Gaussian Processes

Aug 23, 2020

Published in
Towards Data Science

The Game of Life, the Legacy of John Conway

What is the Game of Life? What is the significance of the Game of Life? The legacy of the deceased John Conway.

Apr 14, 2020

The Game of Life, the Legacy of John Conway

Apr 14, 2020

Published in
Researchers’ Digest

Finding Causal Models is Hard

Why is it so hard to find Structural Causal Models? A DAG perspective.

Apr 8, 2020

Finding Causal Models is Hard

Apr 8, 2020

Published in
Towards Data Science

Control What You Can: Reinforcement Learning with Task Planning!

Here I talk about our NeurIPS 2019 paper, combining planning with reinforcement learning agents and intrinsic motivation.

Apr 8, 2020

Control What You Can: Reinforcement Learning with Task Planning!

Apr 8, 2020

Published in
Towards Data Science

RaMBO: Ranking Metric Blackbox Optimization

Our paper resulting in an oral at CVPR 2020 about applying the blackbox differentiation theory (codename #blackboxbackprop) to optimizing…

Apr 8, 2020

RaMBO: Ranking Metric Blackbox Optimization

Apr 8, 2020

Published in
Towards Data Science

7 Things to Think About When Developing Reinforcement Learners

Albeit we have made very good progress in reinforcement learning research, a unified framework to compare the algorithms is missing…

Mar 23, 2020

7 Things to Think About When Developing Reinforcement Learners

Mar 23, 2020

Published in
Towards Data Science

What is the “Information” in Information Theory?

Breaking down the fundamental concept of information.

Feb 27, 2020

What is the “Information” in Information Theory?

Feb 27, 2020

Marin Vlastelica

Marin Vlastelica

PhD @ Max Planck Institute for Intelligent Systems | All things ML/AI | Gutar | https://jimimvp.github.io/ | https://www.linkedin.com/in/mvlastelica/ |

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