Manual dexterity. I’m pretty sure I can whoop any AI at Jenga, for the next 3 years or so. And the more fiddly, the bigger my expected advantage—Men at Work is an example of an even more challenging game, with many more possible game states.
Good idea! Maybe but something with more variety than Jenga. I’d bet hard-cash a dedicated team could make a Jenga champion in fraction of that time. Sounds like a fun challenge. Here’s are a few impressive robot dexterity projects:
Hmm. Well, anything physical can be a challenge to AI, since we don’t have many real-life machines playing games physically. While technically the idea rings true, my question didn’t intend to explore much of this approach :)
Manual dexterity. I’m pretty sure I can whoop any AI at Jenga, for the next 3 years or so. And the more fiddly, the bigger my expected advantage—Men at Work is an example of an even more challenging game, with many more possible game states.
Good idea! Maybe but something with more variety than Jenga. I’d bet hard-cash a dedicated team could make a Jenga champion in fraction of that time. Sounds like a fun challenge. Here’s are a few impressive robot dexterity projects:
https://openai.com/blog/learning-dexterity/
https://www.youtube.com/watch?v=kVmp0uGtShk
https://www.youtube.com/watch?v=ZiqC9emBk00
https://www.youtube.com/watch?v=-KxjVlaLBmk
Hmm. Well, anything physical can be a challenge to AI, since we don’t have many real-life machines playing games physically. While technically the idea rings true, my question didn’t intend to explore much of this approach :)