mtrazzi
Emil Wallner on Building a €25k ML rig
The Codex Skeptic FAQ
Re:Do we need to worry about artificial stupidity?
on Wednesday August 14, 2019 @05:27AM (#20693906)
For a literature review of Artificial Stupidity: https://arxiv.org/abs/1808.03644
Re:Meta-Reinforcement Learning
on Wednesday March 27, 2019 @03:29PM (#19504977)
For more information about why meta-learning (and in particular meta-RL) is useful see this post: https://bair.berkeley.edu/blog/2017/07/18/learning-to-learn/
Re:Meta-Reinforcement Learning
on Wednesday March 27, 2019 @03:28PM (#19504965)
The first applications appear really simple because they illustrate cognitive abilities that imitate planning/model-based RL related to neuroscience/psychology.
It doesn't mean that meta-RL won't scale up with more computation (see http://www.incompleteideas.net/IncIdeas/BitterLesson.html).
Meta-Reinforcement Learning
My Friend Got an Internship at Tesla After Only 8 Months of Coding
Re:Spinning Up a Pong AI with Deep Reinforcement Learning
on Thursday December 06, 2018 @02:28PM (#18621221)
Hum, have not tried that but I guess the robotic part and the computer vision would be pretty standard, so it would be feasible.
PS:They even have robots playing real Pong! https://www.youtube.com/watch?v=tIIJME8-au8
Re:Spinning Up a Pong AI with Deep Reinforcement Learning
on Thursday December 06, 2018 @02:18PM (#18621135)
Both the Keras one and the one from spinning up can be called "vanilla policy gradients". The one in Keras is closer to REINFORCE, and the one from spinning up use actor-critic and a multilayer perceptron.
Re:Spinning Up a Pong AI with Deep Reinforcement Learning
on Thursday December 06, 2018 @02:14PM (#18621092)
Thanks! I would totally recommend Spinningup, because of the guide and the docs.