activity
20212023
most citedRediscovering Affordance: A Reinforcement Learning Perspective

22 citations · 28 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2023

Amortised Design Optimization for Item Response Theory

Antti Keurulainen, Isak Westerlund, Oskar Keurulainen +1

Item Response Theory (IRT) is a well known method for assessing responses from humans in education and psychology. In education, IRT is used to infer student abilities and characte…

cs.AI2023★ 6 cited

Amortised Experimental Design and Parameter Estimation for User Models of Pointing

Antti Keurulainen, Isak Westerlund, Oskar Keurulainen +1

User models play an important role in interaction design, supporting automation of interaction design choices. In order to do so, model parameters must be estimated from user data.…

cs.HC2022★ 22 cited

Rediscovering Affordance: A Reinforcement Learning Perspective

Yi-Chi Liao, Kashyap Todi, Aditya Acharya +3

Affordance refers to the perception of possible actions allowed by an object. Despite its relevance to human-computer interaction, no existing theory explains the mechanisms that u…

cs.AI2021

Learning to Assist Agents by Observing Them

Antti Keurulainen, Isak Westerlund, Samuel Kaski +1

The ability of an AI agent to assist other agents, such as humans, is an important and challenging goal, which requires the assisting agent to reason about the behavior and infer t…

cs.LG2021

Behaviour-conditioned policies for cooperative reinforcement learning tasks

Antti Keurulainen, Isak Westerlund, Ariel Kwiatkowski +2

The cooperation among AI systems, and between AI systems and humans is becoming increasingly important. In various real-world tasks, an agent needs to cooperate with unknown partne…