Reinforcement Learning - RE•WORK Blog

The 13 ‘Must-Read’ AI Papers of 2021

We reached out to our expert community to find out which papers they believe everyone should have read in 2021!...

#BlackInEngrComp Highlights

We're keen to support and amplify black students and professionals. We've been following the initiative by Black in Engineering and Black in Computing and wanted to share a few highlights from the Roll Call portion of the movement......

Reinforcement Learning

Reinforcement Learning 101 - Experts Explain

We asked some of our AI experts and thought leaders to walk us through Reinforcement Learning. Covering everything from agents to video games and more....

Reinforcement Learning

An Introduction to Reinforcement Learning - Lex Fridman, MIT

We were delighted to be joined by Lex Fridman at the San Francisco AI Summit, taking part in both a ‘Deep Dive’ session, allowing for a great amount of attendee interaction and collaboration, alongside a fireside chat with OpenAI Co-Founder & Chief Scientist, Ilya Sutskever....

Reinforcement Learning

Doina Precup presents the latest on Reinforcement Learning

Doina Precup, Research Team Lead at DeepMind shared the latest developments in Reinforcement Learning and how it can be used as a tool for building knowledge bases for AI Agents....

AI for Beginners

The Complete Guide to Machine Learning

AI is used to develop smart chatbots for day-to-day marketing and sales tasks. It’s used for natural language processing and helping machines understand the nuances of human language. AI is even behind many of today’s advances in robotics and smart healthcare....

Women in AI

The Landscape of AI in Montreal: Interview with Doina Precup, DeepMind

‘I’ve always been interested in AI because I love sci-fi books and movies, and I saw lots of friendly robots interacting with people doing nice things for them’. - Doina Precup...

Event Highlights

AI & Deep Learning Summits in San Francisco, what did you miss?

This morning we welcomed back attendees who were ready to learn from some of the brightest emerging startups from across the globe. More of our fantastic speakers joined the RE•WORK team and we continued to explore some of the most cutting edge advancements in AI....

Event Highlights

The Future of AI & Deep Learning: Social Impact, Applications & Research Progressions

For the first time, we’re taking a look at the way industry, academia and society work hand in hand to ensure that the technological advancements are able to be applied in industry, and for the overall benefit of society as a whole....

Deep Learning

The Next Generation of AI Experts: Arjun Neervannan

Next week, we are hosting a Rising Stars session where we will hear from the next generation of AI Pioneers. The session will include presentations followed by a closing panel involving the speakers. In advance of his presentation, Arjun Neervann has shared his AI journey and current work with us....

Business Applications

Not going to the Applied AI Summit? Here's what you're missing

We're back in San Francisco this June 20 - 21, and passes are nearly sold out for the co-located summits. We thought we'd give you a quick look at what you'll be missing if you don't secure a pass......

Deep Learning

Applied AI, Deep Reinforcement Learning & AI for Good: Join RE•WORK in San Francisco this June

With the rapid advances and applications of AI, conversations have increased around the intentions of the technology. Not only is it essential to ensure that AI will not be used with malicious intent,...

Deep Learning

Deep Reinforcement Learning - What’s all the fuss about?

Deep Reinforcement Learning (DRL) is praised as a potential answer to a multitude of application based problems previously considered too complex for a machine. The resolution of these issues could see wide-scale advances...

Deep Learning

Interview: Doina Precup, DeepMind & McGill University, the landscape of AI in Montreal

Earlier this autumn DeepMind announced the launch of their second lab outside of the UK in Montreal, headed by Doina Precup, Professor at McGill’s School of Computer Science. The Google owned company...

Deep Learning

Q&A, Junhyuk Oh, ‘Task Generalisation with Deep Reinforcement Learning’

The ability to generalise over new tasks is incredibly important in research when aiming to build scalable reinforcement learning agents. At the Deep Learning Summit in San Francisco this January 25 & 26,...

Deep Learning

Women in AI Podcast: Antonia Creswell on Generative Modelling

At the Deep Learning Summit in London this September, we had the fantastic opportunity to record 6 episodes of the Women in AI Podcast. We spoke with CEOs, researchers, data scientists and industry...

Deep Learning

Google DeepMind's Avatar Learns to Walk

Google DeepMind, the ‘world leader in artificial intelligence research and its application for positive impact’, have created a AI that has learned to walk without any prior guidance. The figure moves through virtual...