The feeling of action tendencies: on the emotional regulation of goal-directed behavior
In this article, we review the nature of the functional and causal relationship between
neurophysiologically/psychologically generated states of emotional feeling and action …
neurophysiologically/psychologically generated states of emotional feeling and action …
Active learning of inverse models with intrinsically motivated goal exploration in robots
A Baranes, PY Oudeyer - Robotics and Autonomous Systems, 2013 - Elsevier
We introduce the Self-Adaptive Goal Generation Robust Intelligent Adaptive Curiosity
(SAGG-RIAC) architecture as an intrinsically motivated goal exploration mechanism which …
(SAGG-RIAC) architecture as an intrinsically motivated goal exploration mechanism which …
End-to-end navigation strategy with deep reinforcement learning for mobile robots
In this article, we develop a navigation strategy based on deep reinforcement learning (DRL)
for mobile robots. Because of the large difference between simulation and reality, most of the …
for mobile robots. Because of the large difference between simulation and reality, most of the …
Powerplay: Training an increasingly general problem solver by continually searching for the simplest still unsolvable problem
J Schmidhuber - Frontiers in psychology, 2013 - frontiersin.org
Most of computer science focuses on automatically solving given computational problems. I
focus on automatically inventing or discovering problems in a way inspired by the playful …
focus on automatically inventing or discovering problems in a way inspired by the playful …
Curiosity driven reinforcement learning for motion planning on humanoids
Most previous work on artificial curiosity (AC) and intrinsic motivation focuses on basic
concepts and theory. Experimental results are generally limited to toy scenarios, such as …
concepts and theory. Experimental results are generally limited to toy scenarios, such as …
The strategic student approach for life-long exploration and learning
M Lopes, PY Oudeyer - 2012 IEEE international conference on …, 2012 - ieeexplore.ieee.org
This article introduces the strategic student metaphor: a student has to learn a number of
topics (or tasks) to maximize its mean score, and has to choose strategically how to allocate …
topics (or tasks) to maximize its mean score, and has to choose strategically how to allocate …
A unified model of the joint development of disparity selectivity and vergence control
Y Zhao, CA Rothkopf, J Triesch… - 2012 ieee international …, 2012 - ieeexplore.ieee.org
Reinforcement learning is a prime candidate as a general mechanism to learn how to
progressively choose behaviorally better options in animals and humans. An important …
progressively choose behaviorally better options in animals and humans. An important …
Arousal regulation and affective adaptation to human responsiveness by a robot that explores and learns a novel environment
A Hiolle, M Lewis, L Cañamero - Frontiers in neurorobotics, 2014 - frontiersin.org
In the context of our work in developmental robotics regarding robot–human caregiver
interactions, in this paper we investigate how a “baby” robot that explores and learns novel …
interactions, in this paper we investigate how a “baby” robot that explores and learns novel …
Curiosity-driven exploration enhances motor skills of continuous actor-critic learner
Guiding the action selection mechanism of an autonomous agent for learning control
behaviors is a crucial issue in reinforcement learning. While classical approaches to …
behaviors is a crucial issue in reinforcement learning. While classical approaches to …
A formal theory of creativity to model the creation of art
J Schmidhuber - Computers and creativity, 2012 - Springer
Abstract According to the Formal Theory of Creativity (1990–2010), a creative agent—one
that never stops generating non-trivial, novel, and surprising behaviours and data—must …
that never stops generating non-trivial, novel, and surprising behaviours and data—must …