Learn more about artificialintelligence with this collection
Understanding machine learning models
Improving data analysis and decision-making
How Google uses logic in machine learning
The AlphaGo Milestone
In March 2016, the Reinforcement Learning technique had a landmark moment.
A DeepMind system called AlphaGo became the first computer program to defeat a world champion in Go, a famously complex board game.
The victory was reportedly watched by over 200 million people.
AlphaGo learns the game from scratch by playing against different versions of itself thousands of times, incrementally learning through a process of trial and error, known as reinforcement learning. This means it is free to learn the game for itself, unconstrained by orthodox thinking.
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How a Reward Function Works
In AI systems, the rewards and punishments are calculated mathematically. A self-driving system could receive a -1 when the model hits a wall, and a +1 if it safely passes another car. These signals allow the agent to evaluate its performance.
The algorithm then learns through trial and err...
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The Bottom Line
There are still major challenges to overcome. RL agents struggle to maximize rewards in complex environments and assess the long-term repercussions of their actions. Nonetheless, the reward-is-enough proponents believe the algorithms’ adaptability could pave a path to AGI.
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Reinforcement Learning
In reinforcement learning (RL), a software agent learns through trial and error. When it takes the desired action, the model receives a reward.
Over time, the agent works out how to execute the task to optimize its reward.
The technique can be applied to a vast array ...
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Foster Curiosity
Consider a child’s capacity for learning. Help your employees see the unlearning from a child’s view. A child is usually open to discover new approaches and new techniques without much hesitation at all. They don't have the same 'adult baggage' of fear or looking stupid. Ask yourself:
What ...
The limits of AlphaGo or GPT-3
Although AI researchers can train systems to win at Space Invaders, it couldn’t play games like Montezuma Revenge where rewards could only be collected after completing a series of actions (for example, climb down ladder, get down rope, get down another ladder, jump over skull and climb up a ...
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