Superposed_Cat
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Hey all, are there any resources available online on rag doll physics programming without 3rd party libraries? the algorithms etc? Any help appreciated.
The discussion revolves around programming ragdoll physics without the use of third-party libraries, exploring algorithms and resources related to this topic. Participants also touch on related concepts such as genetic algorithms and neural networks in the context of simulating movement.
Participants express differing views on the necessity and practicality of using third-party libraries for ragdoll physics programming. Some advocate for their use due to the complexity of the underlying math, while others argue for the benefits of building a custom solution.
The discussion includes various assumptions about the capabilities and limitations of different approaches to simulating physics, as well as the potential challenges in implementing algorithms without established libraries.
Make a simulated robot learn to walk with genetic algorithms. I wanted to do it with neural networks but couldn't figure out what to make the inputs and outputsGreg Bernhardt said:What kind of project are you working on?
kroni said:Previously i try genetic algorithm for this kind of task and it doesn't work well because learning is very long. Walk can be learned by logic, automatic. You can automaticaly learn physics law with généric model regression like least square regression and then use it to search how to move using a tree to explore the configuration space.
kroni said:é
Why do you want to avoid 3rd party libraries? You're using a compiler. Why aren't you using machine language? What's the difference between a 3rd party library and a compiler?Superposed_Cat said:Hey all, are there any resources available online on rag doll physics programming without 3rd party libraries?
Superposed_Cat said:why do you type your 'e's like this?
