The passing year of 2016 was a year awash with many, too many to count, interesting papers within the fields of Deep Learning and Artificial Intelligence. 3,827 more words

## Tags » Reinforcement Learning

#### Innovation modeled by Mathematics and complex networks

How innovation happens? That is a big mystery. One of the links from MIT Technology Review weekly collection of *Arxived* papers directed us to a paper that addresses this question. 1,674 more words

#### reference – Reinforcement Learning

## Reference for Reinforcement Learning

### RL for game playing

Newest (in recent 2 years):- Heinrich, Johannes, and David Silver. “Deep Reinforcement Learning from Self-Play in Imperfect-Information Games” (2016). 83 more words

#### Overview: Generative Adversarial Networks - When Deep Learning Meets Game Theory

Before going into the main topic of this article, which is about a new neural network model architecture called Generative Adversarial Networks (GANs), we need to illustrate some definitions and models in Machine Learning and Artificial Intelligence in general. 920 more words

#### Getting started with Reinforcement Learning

Reinforcement learning is a fascinating family of algorithms that closely match our intuitions about the way humans learn. Perhaps the two most famous examples come from DeepMind. 654 more words

#### Machine_Learning_with_TensorFlow (6)

# Reinforcement Learning

All these examples can be unified under a general formulation: performing an action in a scenario can yield a reward. A more technical term for scenario is a… 2,355 more words

#### Bandits algorithms

Summary and notes of the first class of the Reinforcement Learning (RL) course offered at McGill held on January 6th, in addition to chapter 2 of 1,144 more words