activity
20112025
most citedActive Learning of Inverse Models with Intrinsically Motivated Goal Exploration in Robots

451 citations · 493 across the 6 of their papers we have counts for

collaborators

6 papers

cs.HC2025★ 1 cited

Expanding the Generative AI Design Space through Structured Prompting and Multimodal Interfaces

Nimisha Karnatak, Adrien Baranes, Rob Marchant +3

Text-based prompting remains the predominant interaction paradigm in generative AI, yet it often introduces friction for novice users such as small business owners (SBOs), who stru…

cs.HC2025★ 2 cited

ACAI for SBOs: AI Co-creation for Advertising and Inspiration for Small Business Owners

Nimisha Karnatak, Adrien Baranes, Rob Marchant +2

Small business owners (SBOs) often lack the resources and design experience needed to produce high-quality advertisements. To address this, we developed ACAI (AI Co-Creation for Ad…

cs.AI2024★ 17 cited

LLMs achieve adult human performance on higher-order theory of mind tasks

Winnie Street, John Oliver Siy, Geoff Keeling +7

This paper examines the extent to which large language models (LLMs) have developed higher-order theory of mind (ToM); the human ability to reason about multiple mental and emotion…

cs.LG2013★ 451 cited

Active Learning of Inverse Models with Intrinsically Motivated Goal Exploration in Robots

Adrien Baranes, Pierre-Yves Oudeyer

We introduce the Self-Adaptive Goal Generation - Robust Intelligent Adaptive Curiosity (SAGG-RIAC) architecture as an intrinsi- cally motivated goal exploration mechanism which all…

cs.LG2011★ 22 cited

Bootstrapping Intrinsically Motivated Learning with Human Demonstrations

Sao Mai Nguyen, Adrien Baranes, Pierre-Yves Oudeyer

This paper studies the coupling of internally guided learning and social interaction, and more specifically the improvement owing to demonstrations of the learning by intrinsic mot…

cs.AI2011

Constraining the Size Growth of the Task Space with Socially Guided Intrinsic Motivation using Demonstrations

Sao Mai Nguyen, Adrien Baranes, Pierre-Yves Oudeyer

This paper presents an algorithm for learning a highly redundant inverse model in continuous and non-preset environments. Our Socially Guided Intrinsic Motivation by Demonstrations…