NVIDIA Recreated PAC-MAN By Using This Neural Network Model

On the eve of PAC-MAN’s 40th anniversary, the researchers at the prominent tech giant, NVIDIA, teamed up with MIT, the University of Toronto and Vector Institute to build a new AI model known as GameGAN to recreate the gaming environment…

Reinforcement Learning With Augmented Data Is So Superior It Beats Google & DeepMind Hands-down

From teaching a robot to drive itself off-road to adapting to never-before-seen tasks and grasping occluded objects, University of California, Berkeley, has been investing and doing a number of researches around self-learning techniques.  Recently, researchers at UC Berkeley open-sourced reinforcement…

After Poker And Go, Reinforcement Learning Is Now Beating Mahjong Players

For the first time, an AI model has outperformed top players in the game of Mahjong. Microsoft Research Asia designed an AI model for Mahjong known as Suphx. The researchers evaluated Suphx on the most popular and competitive Mahjong platform,…

Adversarial Attacks That Can Corrupt Reinforcement Learning Systems

The age of algorithmic innovations has now entered a new realm where the researchers are finding flaws in the techniques through adversarial attacks. In the case of computer vision problems, the role of adversarial attacks has been well established, and…

This AI Agent Uses Reinforcement Learning To Self-Drive In A Video Game

One of the most used machine learning (ML) algorithms of this year, reinforcement learning (RL) has been utilised to solve complex decision-making problems. In the present scenario, most of the researches are focussed on using RL algorithms which helps in…

What Is Constrained Reinforcement Learning And How Can One Build Systems Around It

One of the most important innovations in the present era for the development of highly-advanced AI systems has been the introduction of Reinforcement Learning (RL).  It has the potential to solve complex decision-making problems.  It generally follows a “trial and…

Why DeepMind Beating 99.8% Of Humans In StarCraft 2 Is Actually Great News For Us

Back in 2016, when Google’s DeepMind and Blizzard announced their partnership to push the limits of AI through StarCraft 2, the idea of an artificial intelligence beating the top players in the world seemed absurd. But this year in January…

How To Automate Reward Design For Reinforcement Learning Systems

Despite the success of reinforcement learning algorithms, there are few challenges which are still pervasive. Rewards, which make up for much of the RL systems, are tricky to design. A smarter reward system ensures an outcome with better accuracy.  In…

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