Mar 12, 2024 · In this paper, we present a novel FL benchmark that evaluates different strategies, using multi-label regression objectives.

In this paper, we explore simulated environments with humans and robotic agents to learn the social appropriateness of different high-level tasks as a use case ...

The paper explores the use of Federated Learning (FL) and Federated Continual Learning (FCL) techniques to train agents in simulated home environments, focusing ...

Federated Learning of Socially Appropriate Agent Behaviours in Simulated Home Environments · 1 code implementation • 12 Mar 2024 • Saksham Checker, Nikhil ...

Mar 16, 2024 · Distributed learning settings can be particularly desir- able for social robots, to understand and learn socially appropriate behaviours, ...

Federated Learning of Socially Appropriate Agent Behaviours in Simulated Home Environments. Saksham Checker, Nikhil Churamani, and Hatice Gunes. In Workshop ...

@INPROCEEDINGS {Checker2024FL, title = {"Federated Learning of Socially Appropriate Agent Behaviours in Simulated Home Environments"},

Federated Learning of Socially Appropriate Agent Behaviours in Simulated Home Environments · 1 code implementation • 12 Mar 2024 • Saksham Checker, Nikhil ...

The results show that both explicit and implicit adaptation mechanisms enabled the adaptive robo-waiter to be rated as more enjoyable and sociable, ...

Jun 20, 2024 · Federated Learning of Socially Appropriate Agent Behaviours in Simulated Home Environments. ... Learning of Socially Appropriate Robot Behaviours ...