A new AI approach for multi-cut imitation networks for constrained hypergraphs
Graph sparsification is a fundamental tool in theoretical computer science that helps to reduce the size of a graph without ...
Tag: Imitation
CMU researchers explore expert guidance and strategic deviations in multi-agent imitation learning
The problem of a mediator learning to coordinate a group of strategic agents is posed through recommendations of actions without ...
Scarlett Johansson voice imitation from RIP ChatGPT (2023 – 2024)
When GPT-4o was apparently shown last week, observers were x.com/Architectoids/status/1790207213044371758" rel="nofollow noopener" target="_blank" data-ylk="slk:quick to point out;cpos:3;pos:1;elm:context_link;itc:0;sec:content-canvas" class="link "> that ...
Can social intelligence in linguistic agents be improved through interaction and imitation? This article presents SOTOPIA-π, a novel approach to cultivating social AI skills
In artificial intelligence, a niche that stands out is the development of linguistic agents capable of navigating the intricate network ...
Imperial College London team develops AI method for short-shot imitation learning: mastering new real-world tasks with minimal demonstrations
In the ever-evolving landscape of robotics and artificial intelligence, an interesting and challenging problem is how to educate robots to ...
Meet GROOT: A Robust Imitation Learning Framework for Vision-Based Manipulation with 3D Object-Centric Priorities and Adaptive Policy Generalization
With the rise in popularity and use cases of artificial intelligence, imitation learning (IL) has proven to be a successful ...
Recommended.
