Can A Single AI Agent Play Multiple Games? | Game Futurology #35

Описание: This is episode #35 of the video series "Game Futurology" covering the paper "Crossing The Gap: A Deep Dive into Zero-Shot Sim-to-Real Transfer for Dynamics" by Eugene Valassakis, Zihan Ding and Edward Johns.
PDF: https://arxiv.org/pdf/2008.06686.pdf
Authors' Video:    • Crossing the Gap: A Deep Dive into Zero-Sh...  

Game Futurology:
This is a video series consisting of short 2-3 minute overview of research papers in the field of AI and Game Development. This series aims to ponder over what the future games might look like based on the latest academic research going on in the field today. Subscribe for more weekly videos!

Abstract:
Zero-shot sim-to-real transfer of tasks with complex dynamics is a highly challenging and unsolved problem. A number of solutions have been proposed in recent years, but we have found that many works do not present a thorough evaluation in the real world, or underplay the significant engineering effort and task-specific fine tuning that is required to achieve the published results. In this paper, we dive deeper into the sim-to-real transfer challenge, investigate why this is such a difficult problem, and present objective evaluations of a number of transfer methods across a range of real-world tasks. Surprisingly, we found that a method which simply injects random forces into the simulation performs just as well as more complex methods, such as those which randomise the simulator's dynamics parameters, or adapt a policy online using recurrent network architectures.


Music Credits: https://www.fesliyanstudios.com/

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