@pierre_vannier s’amuser à poser un grand poster d’une piscine sur la pelouse et faire remarquer aux impôts quand ils viennent réclamer que leur approche peut être leurrée facilement. Tel est pris qui croyait prendre
@faoliehoek Well, very old is not that old. Tried :-) on my parents (70-80yo), they did not understand. Was obliged to explain now this is smile (in text) for them
We are pleased to announce that the 2020 @NeurIPSConf MineRL Competition has officially launched! This is an exciting collaboration between @mldcmu, @OpenAI, @PreferredNet, @AIcrowdHQ, @MSFTResearch, and @DeepMind. Check it out and sign up here: https://t.co/e9OCv1ZPWt
Slime Volleyball Gym Environment
A simple gym environment for testing single and multi-agent reinforcement learning algorithms. Includes a few self-play training examples in python.
https://t.co/ZO43jrcma8
@PyImageSearch@udemy Hunt down this guy on Twitter and LinkedIn and let everybody knows what he did. Harrison Kinsley (sentdex) got the same kind of trouble
OpenAI's multi-agent team is currently hiring research scientists! Interested in multiple, interacting agents, AI-generating algorithms, open-ended algorithms, automatically generating training environments, deep RL, and more? Please apply! https://t.co/LNmyHoe8yp
Want to learn about meta-learning? Lecture videos for CS330 are now online!
https://t.co/taJ5yyIWVQ
Topics incl. MTL, few-shot learning, Bayesian meta-learning, lifelong learning, meta-RL & more:
https://t.co/mJ1v71huD7
+ 3 guest lectures from Kate Rakelly, @svlevine, @jeffclune
@PyImageSearch Hello Adrian, well done again with this tutorial. Have you ever considered proposing a Jupyter Notebook for your code. That could be a nice way to test your code
We're standardizing OpenAI's deep learning framework on PyTorch to increase our research productivity at scale on GPUs (and have just released a PyTorch version of Spinning Up in Deep RL): https://t.co/OGWFsij4Kb