How to represent the following problem using BC.

Unity-Technologies / ml-agents

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

https://unity.com/products/machine-learning-agents

Other

16.93k stars 4.14k forks source link

How to represent the following problem using BC. #2034

Closed krishnanpc closed 5 years ago

krishnanpc commented 5 years ago

I'm trying to use Behavioral Cloning to teach an agent to solve a 3d scene modelling problem. i would use expert action sequences to as the teacher brain here. My question is what is the best way to represent the problem?
I was wondering if there is a way to model the current scene state and state transitions. I could not find any examples of BC, where the agents are not directly controlled by keyboard inputs. any help is appreciated.

xiaomaogy commented 5 years ago

Thank you for the discussion. We are closing this issue due to inactivity. Feel free to reopen it if you’d like to continue the discussion though.

github-actions[bot] commented 3 years ago

This thread has been automatically locked since there has not been any recent activity after it was closed. Please open a new issue for related bugs.