Robots Do Not Need A Centralized Authority Anymore

Robots Do Not Need A Centralized Authority Anymore

Hierarchical predictive planning is a decentralized model-based reinforcement learning system to enable agents to align.

Interaction between robots and their environment is an exciting area of study. In a lab or a controlled environment, multiple robots could be coordinated through a centralized planner. However, in real-life applications, a centralized planner may not be feasible.

Read more: https://analyticsindiamag.com/robots-do-not-need-a-centralized-authority-anymore/

ai robots

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