Tags » Reinforcement Learning

Dyna-Q Planning Agent

Hey guys,

Today we will be learning about incorporating planning actions into the learning task.We will be taking a simple example of the maze task to see how learning planning integrated, can converge faster than one being used alone. 344 more words

Let us overview the variations of deep learning now !

This weekend, I research recurrent neural network (RNN) as I want to develop my small chatbot. I also run program of convnet as I want to confirm how they are accurate.   419 more words

Artificial Intelligence

Atari videos

Reinforcement learning agents can learn to play video games (for instance Atari games) by themselves. The original DQN algorithm and many of its successors clip the rewards they receive while learning. 537 more words


Apprenticeship learning using Inverse Reinforcement Learning

@tachyeonz : Reinforcement learning (RL) is is the very basic and most intuitive form of trial and error learning, it is the way by which most of the living organisms with some form of thinking capabilities learn. 26 more words


#2 : Intro to Machine Learning

Machine learning is a part of artificial intelligence that provides computers with the ability to learn without being explicitly programmed. Machine learning focuses on the development of computer programs that can teach themselves to grow and change when exposed to new data. 366 more words

Artificial Intelligence