And from my VERY limited experience, I don't see how it makes sense. At least in consumer grade solutions I haven't heard of any such examples. Yes! Strictly as far as I know, it is nowhere near feasible enough to have a flexible neural network that can keep training itself in real-time. But I guess we're still to early into the whole NN thing to do that in games. What I want to see is a net that is still learning as the player plays the game. Off-course as you said and described, training is the resource intensive part. Something a CPU could manage effortlessly. It took us around 20-24 hours to train the NN (IIRC), but the trained NN could be run on a simple raspberry pi without any problem.Ī trained Neutral network is pretty much like a mathematical function or set of formulas. A very simple project that detects certain objects from a live video. For example, as a project in my college, we worked on a NN for image processing. and different is the new outcomes.Īnd "relatively" it's not really a resource intensive process. What I meant is "More you play, better the AI gets" or "AI learns how you play and react accordingly" kinda arguments by Game developers isn't retraining of NNs, it's just collecting data and providing it to the trained NN. You misunderstood me and it's my fault, I worded it so badly. I mean at the current level of consumer level AI and Neutral Network based solutions, that is the only feasible method (AFAIK).Īnd no it's not entirely true, the act of learning in a neural net does take place with a collection of data and that is the resource intensive part. Or no racing-craft at all when they're just following a line like they are on rails (like in the NFS series). I was actually quite excited to see what their AI could do since racing games are so dynamic and at times it can be quite frustrating to fight against bots that don't have any 'personality'. I think it's sad to see them touting that they have neural network driven AI and it ends up sucking like this.
But then they could put in a minimum and there's also algorithms to detect when the learning process isn't going as it should. After all, the learning process can go south too and make the whole thing worse. If it is a big neural net that is handed a big dataset of course.Ī small network with a small dataset can also be trained on your laptop.īut then that's actually pretty boring if it's just baked it. It has to run through all the data several times and adapt its parameters to yield an optimal result. Yea alright, if they train it at their studio and then just bake the trained network into their game.Īnd no it's not entirely true, the act of learning in a neural net does take place with a collection of data and that is the resource intensive part.
#Motogp 19 vs motogp 18 mods
Spoilers Behavior Article Submissions Blogspam / promoting your own content Off topic No torrents / streams Can you tell me about MotoGP? Where can I watch MotoGP? / Is the video pass worth it? Where is the no spoiler page on ? MotoGP Video Game Discussion MotoGP Social Media & Reddit Chat Links Etc.Īttending a GP? Visit /r/GrandPrixTravel/ for travel advices.įeel free to leave feedback on the subreddit by sending us the mods a message. Rules of Our Subreddit Posts and comments may be removed and users may be be warned, temporarily banned, or permanently banned at the discretion of the moderators.
#Motogp 19 vs motogp 18 full
Full MotoGP Championship Standings: Here.