activity
20152026
most citedLearning Gentle Object Manipulation with Curiosity-Driven Deep Reinforcement Learning

45 citations · 97 across the 18 of their papers we have counts for

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12 papers · 1 filter

cs.AI2026

Idiobionics: The Unification of Privacy and Intelligent Robotic Prostheses

Kwesi Afari Darfoor, Patrick M. Pilarski, Bailey Kacsmar

The human body is at the center of a growing family of technologies designed to tightly and persistently couple biological and digital systems. Robotic prostheses are a representat…

cs.AI2022

Five Properties of Specific Curiosity You Didn't Know Curious Machines Should Have

Nadia M. Ady, Roshan Shariff, Johannes Günther +1

Curiosity for machine agents has been a focus of lively research activity. The study of human and animal curiosity, particularly specific curiosity, has unearthed several propertie…

cs.AI20222 cited

The Frost Hollow Experiments: Pavlovian Signalling as a Path to Coordination and Communication Between Agents

Patrick M. Pilarski, Andrew Butcher, Elnaz Davoodi +7

Learned communication between agents is a powerful tool when approaching decision-making problems that are hard to overcome by any single agent in isolation. However, continual coo…

cs.AI20221 cited

Pavlovian Signalling with General Value Functions in Agent-Agent Temporal Decision Making

Andrew Butcher, Michael Bradley Johanson, Elnaz Davoodi +6

In this paper, we contribute a multi-faceted study into Pavlovian signalling -- a process by which learned, temporally extended predictions made by one agent inform decision-making…

cs.AI20204 cited

Document-editing Assistants and Model-based Reinforcement Learning as a Path to Conversational AI

Katya Kudashkina, Patrick M. Pilarski, Richard S. Sutton

Intelligent assistants that follow commands or answer simple questions, such as Siri and Google search, are among the most economically important applications of AI. Future convers…

cs.AI2020

What's a Good Prediction? Challenges in evaluating an agent's knowledge

Alex Kearney, Anna Koop, Patrick M. Pilarski

Constructing general knowledge by learning task-independent models of the world can help agents solve challenging problems. However, both constructing and evaluating such models re…