Inverse reinforcement learning as the algorithmic basis for theory of mind: current methods and open problems
J Ruiz-Serra, MS Harré - Algorithms, 2023 - mdpi.com
Theory of mind (ToM) is the psychological construct by which we model another's internal
mental states. Through ToM, we adjust our own behaviour to best suit a social context, and …
mental states. Through ToM, we adjust our own behaviour to best suit a social context, and …
Open human-robot collaboration using decentralized inverse reinforcement learning
The growing interest in human-robot collaboration (HRC), where humans and robots
cooperate towards shared goals, has seen significant advancements over the past decade …
cooperate towards shared goals, has seen significant advancements over the past decade …
Online Inverse Reinforcement Learning with Learned Observation Model
With the motivation of extending incremental inverse reinforcement learning (I2RL) to real-
world robotics applications with noisy observations as well as an unknown observation …
world robotics applications with noisy observations as well as an unknown observation …
MVSA-Net: Multi-View State-Action Recognition for Robust and Deployable Trajectory Generation
The learn-from-observation (LfO) paradigm is a human-inspired mode for a robot to learn to
perform a task simply by watching it being performed. LfO can facilitate robot integration on …
perform a task simply by watching it being performed. LfO can facilitate robot integration on …
[PDF][PDF] IRL for Restless Multi-Armed Bandits with Applications in Maternal and Child Health
Public health practitioners often have the goal of monitoring patients and maximizing
patients' time spent in “favorable" or healthy states while being constrained to using limited …
patients' time spent in “favorable" or healthy states while being constrained to using limited …