Tags » Reinforcement Learning

What is Machine Learning?

A definition I like most is, “the semi-automated extraction of knowledge from data”. I say semi-automated because machine learning (ML from now on) requires both humans and computers to work properly.  623 more words

Machine Learning

Reinforcement Learning part 4: Combining egocentric and allocentric

Alright, in my last post on RL we looked at egocentric learning and what that is. We also saw that both ego and allocentric learning have their strong points, and they compliment each other. 1,988 more words


24th March Meeting - Skill Discovery From Unstructured Demonstrations

Pravesh Ranchod presented “Skill Discovery From Unstructured Demonstrations.

Abstract: Programming agents in complex domains such as gaming and robotics can be prohibitively time consuming, requiring extensive engineering expertise. 105 more words

Reinforcement Learning part 3: Egocentric learning

When an agent is learning how to move, it’s learning a set of values to associate with possible actions for each situation it encounters. We say that it’s learning the action values. 2,236 more words


Recent trends in artificial intelligence algorithms

Promise of spring reveals interesting hybrid variants

Those of us who have been through a few tech cycles have learned to be cautious, so for the second article in this series I thought it might be helpful to examine the state of AI algorithms to answer the question: what’s different this time? 1,004 more words

Artificial Intelligence

Deep reinforcement learning

Human-level control through deep reinforcement learning
Nature  518, 529–533 (26 February 2015)
Volodymyr Mnih, et al.
The theory of reinforcement learning provides a normative account1, deeply rooted in psychological2 and neuroscientific3 perspectives on animal behaviour, of how agents may optimize their control of an environment. 204 more words

Artificial Intelligence > Machine Learning