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Jonathan Hui
Jonathan Hui

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A Listing of my Article Series in Deep Learning, Reinforcement Learning & Machine Learning

Welcome to my articles on Deep Learning, Reinforcement Learning, Meta-Learning, and Machine Learning. The purpose of this article is to index the series and articles I wrote so far. If you want to reach me or have non-technical comments regarding the articles, please read the F.A.Q. …

Deep Learning

7 min read

A listing of my articles in deep learning
A listing of my articles in deep learning
Deep Learning

7 min read


Mar 15

What is new with GPT-4?

On March 14th, GPT-4 was released. It gave us some insight into its progress toward achieving superhuman proficiency. Nonetheless, you may feel let down by the lack of technical information on the GPT-4 model, such as the speculated model size. In fact, AI companies have become increasingly secretive about their…

Artificial Intelligence

6 min read

What is new with GPT-4?
What is new with GPT-4?
Artificial Intelligence

6 min read


Feb 6

RL — Tips on Reinforcement Learning

Deep Learning (DL) is hard to train and reinforcement learning (RL) is much worse. In early development, follow the same strategy for DL: keep things simple! Remove any bell and whistle that get in your way and reduce the uncertainty to a minimum. In specific for the RL, For new…

Reinforcement Learning

14 min read

RL — Tips on Reinforcement Learning
RL — Tips on Reinforcement Learning
Reinforcement Learning

14 min read


Jan 12

How much do I like ChatGPT?

Andy Rachleff, an entrepreneur and investor, famously said that you know you have a strong product-market fit when your customers are so attached to your product that they scream when you try to take it away from them. ChatGPT is a product that seems to have this kind of attachment…

Artificial Intelligence

12 min read

How much do I like ChatGPT?
How much do I like ChatGPT?
Artificial Intelligence

12 min read


Dec 12, 2022

RL — Reinforcement Learning Algorithms Overview

We have examined many Reinforcement Learning (RL) algorithms in this series, for instance, Policy Gradient methods for the MoJoCo tasks, DQN for Atari games, and Model-based RL for the robotic controls. While many algorithms are introduced with specific domains, such ties can simply be legacy only. …

Artificial Intelligence

8 min read

RL — Reinforcement Learning Algorithms Overview
RL — Reinforcement Learning Algorithms Overview
Artificial Intelligence

8 min read


Jun 27, 2022

RL — Transfer Learning (Learn from the Past)

Humans are explorers and we do it smartly. In reinforcement learning RL, model-free methods search the solution space millions of times. This is hardly efficient. Humans also learn from experience which is an integral part of intelligence. We modify skills to tackle new problems. But in many deep learning or…

Reinforcement Learning

8 min read

RL — Transfer Learning (Learn from the Past)
RL — Transfer Learning (Learn from the Past)
Reinforcement Learning

8 min read


May 10, 2022

RL — PLATO Policy Learning using Adaptive Trajectory Optimization

Imitation plays a major role in learning. In RL, it reduces the amount of time in searching for solutions and it is sample efficient. And imitation usually uses supervised learning for training which has good stability. DAgger: Dataset Aggregation DAgger is an algorithm to augment the training dataset with expert demonstrations for states…

Artifical Intellegence

3 min read

RL — PLATO Policy Learning using Adaptive Trajectory Optimization
RL — PLATO Policy Learning using Adaptive Trajectory Optimization
Artifical Intellegence

3 min read


Apr 26, 2022

RL — Prediction

How can we learn better? This is something we struggle with in real life also. Besides meta-learning, humans make predictions. Even if we don’t know the rules, we make predictions based on instincts. Prediction Prediction plays a major role in decision-making. Sometimes, we predict the state after taking an action. …

Reinforcement Learning

9 min read

RL — Prediction
RL — Prediction
Reinforcement Learning

9 min read


Apr 18, 2022

RL — Transfer Learning

We learn from past experiences. We apply learned knowledge to solve new tasks. In Deep Learning, training a deep network takes a lot of time and samples. This sounds awfully inefficient.

Reinforcement Learning

8 min read

RL — Transfer Learning
RL — Transfer Learning
Reinforcement Learning

8 min read


Apr 11, 2022

RL — Model-Based Learning with Raw Videos

Vision is a critical part of intelligence and the decision-making process. Many toy experiments avoid raw image processing and handcraft features to simplify the task. But for real-life tasks, such handcrafting is labor-intensive and not necessarily transferable to other tasks. Performing reinfocement learning from observing raw videos are critical. Training v.s. Testing During…

Machine Learning

9 min read

RL — Model-Based Learning with Raw Videos
RL — Model-Based Learning with Raw Videos
Machine Learning

9 min read

Jonathan Hui

Jonathan Hui

31K Followers

Deep Learning

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