216 citations · 326 across the 25 of their papers we have counts for
10 papers · 1 filter
Intrinsic Motivation in Dynamical Control Systems
Stas Tiomkin, Ilya Nemenman, Daniel Polani +1
Biological systems often choose actions without an explicit reward signal, a phenomenon known as intrinsic motivation. The computational principles underlying this behavior remain…
A space of goals: the cognitive geometry of informationally bounded agents
Karen Archer, Nicola Catenacci Volpi, Franziska Bröker +1
Traditionally, Euclidean geometry is treated by scientists as a priori and objective. However, when we take the position of an agent, the problem of selecting a best route should a…
AvE: Assistance via Empowerment
Yuqing Du, Stas Tiomkin, Emre Kiciman +3
One difficulty in using artificial agents for human-assistive applications lies in the challenge of accurately assisting with a person's goal(s). Existing methods tend to rely on i…
Expanding the Active Inference Landscape: More Intrinsic Motivations in the Perception-Action Loop
Martin Biehl, Christian Guckelsberger, Christoph Salge +2
Active inference is an ambitious theory that treats perception, inference and action selection of autonomous agents under the heading of a single principle. It suggests biologicall…
Action and perception for spatiotemporal patterns
Martin Biehl, Daniel Polani
This is a contribution to the formalization of the concept of agents in multivariate Markov chains. Agents are commonly defined as entities that act, perceive, and are goal-directe…
Towards information based spatiotemporal patterns as a foundation for agent representation in dynamical systems
Martin Biehl, Takashi Ikegami, Daniel Polani
We present some arguments why existing methods for representing agents fall short in applications crucial to artificial life. Using a thought experiment involving a fictitious dyna…
Changing the Environment Based on Empowerment as Intrinsic Motivation
Christoph Salge, Cornelius Glackin, Daniel Polani
One aspect of intelligence is the ability to restructure your own environment so that the world you live in becomes more beneficial to you. In this paper we investigate how the inf…
Empowerment -- an Introduction
Christoph Salge, Cornelius Glackin, Daniel Polani
This book chapter is an introduction to and an overview of the information-theoretic, task independent utility function "Empowerment", which is defined as the channel capacity betw…
Learning RoboCup-Keepaway with Kernels
Tobias Jung, Daniel Polani
We apply kernel-based methods to solve the difficult reinforcement learning problem of 3vs2 keepaway in RoboCup simulated soccer. Key challenges in keepaway are the high-dimensiona…
Empowerment for Continuous Agent-Environment Systems
Tobias Jung, Daniel Polani, Peter Stone
This paper develops generalizations of empowerment to continuous states. Empowerment is a recently introduced information-theoretic quantity motivated by hypotheses about the effic…