Questions tagged [real-time]
The real-time tag has no usage guidance.
14
questions
0
votes
0answers
26 views
What set of deep learning networks is well suited for realtime inference in OpenGL and/or DirectX?
I have a bit of experience with training and using networks using tensorflow and pytorch.
What I'd like to experiment with is to train networks for which the inference of the trained network can be ...
1
vote
0answers
59 views
How do I set up rewards to account for unmanned aerial vehicle crashes?
I am working on a project to implement a collision avoidance algorithm on a real unmanned aerial vehicle (UAV).
I'm interested in understanding the process to set up a negative reward to account for ...
2
votes
1answer
86 views
Is reinforcement learning suited for real-time systems?
From what I have seen, any results involving RL almost always take a massive number of simulations to reach a remotely good policy.
Will any form of RL be viable for real-time systems?
2
votes
0answers
23 views
Searching for powerfull AI modules to improve teef gloves
I have seen the teef glove ofNavid Azodi and Thomas Pryor, like this :
and also seen this post which has been said about this kind of work problem :
Their six-page letter, which Padden passed ...
1
vote
0answers
22 views
What are the properties of a model that is well suited for for high performance real-time inference
What are general best practices or considerations in designing a model that is optimized for real-time inference?
1
vote
1answer
153 views
Can I filter barking sounds on the television?
My dog goes bonkers every time the sound of a barking dog is heard on a television program. I never noticed this before but literally every movie or show with an outdoors setting eventually includes ...
8
votes
2answers
637 views
Reinforcement Learning with asynchronous feedback
I want suggestions on literature on Reinforcement Learning algorithms that perform well with asynchronous feedback from the environment. What I mean by asynchronous feedback is, when an agent performs ...
1
vote
3answers
125 views
To what extent can artificially intelligent agents reliably predict trends in financial markets?
I've gotten curious about this topic and am wondering what the stack exchange community has to say about it. Also, does anyone know of any professors/researchers who have published papers pertaining ...
3
votes
2answers
1k views
What type of neural network would be most feasible for playing a realtime game?
For implementing a neural network algorithm that can play air hockey, I had two ideas for input, and I'm trying to figure out which design would be most viable.
The output must be two analog values ...
2
votes
0answers
98 views
Continuous Real-Time AI Simulation Loop
Due to my ignorance in this space I am not sure if a similar approach has already been proposed for what I outline below (I am not sure what terminology to even search for):
I have been doing some ...
4
votes
1answer
101 views
Different useful approaches of implementing real-time AI?
I identify myself as a human agent. It is time to think about oncoming senior research and due to small experience in gamedev(as well as in AI field), some questions are raised. What are the most ...
6
votes
3answers
589 views
How do autonomous robotic vacuum cleaners perceive the environment for navigation?
How does a domestic autonomous robotic vacuum cleaner - such as a Roomba - know when it's working cleaned area (aka virtual map), and how does it plan to travel to the areas which hasn't been ...
0
votes
1answer
162 views
Which techniques can achieve neural doodle in real-time?
Ideally I'd like to watch movie which is deep dreamed in real-time. Most algorithms which I know are too slow or not designed for real-time processing.
For example I'm bored with some movie which I'...
2
votes
1answer
429 views
Can ConvNets be used for real-time object recognition from video feed?
Convolutional neural network are leading type of feed-forward artificial neural network for image recognition. Can they be used for real-time image recognition for videos (frame by frame), or it takes ...