no code implementations • 14 Feb 2024 • Reabetswe M. Nkhumise, Debabrota Basu, Tony J. Prescott, Aditya Gilra
Exploration is the key ingredient of reinforcement learning (RL) that determines the speed and success of learning.
no code implementations • 23 Feb 2021 • Matthew T. Whelan, Tony J. Prescott, Eleni Vasilaki
Hippocampal reverse replay is thought to contribute to learning, and particularly reinforcement learning, in animals.
1 code implementation • 12 Jun 2017 • Clément Moulin-Frier, Tobias Fischer, Maxime Petit, Grégoire Pointeau, Jordi-Ysard Puigbo, Ugo Pattacini, Sock Ching Low, Daniel Camilleri, Phuong Nguyen, Matej Hoffmann, Hyung Jin Chang, Martina Zambelli, Anne-Laure Mealier, Andreas Damianou, Giorgio Metta, Tony J. Prescott, Yiannis Demiris, Peter Ford Dominey, Paul F. M. J. Verschure
This paper introduces a cognitive architecture for a humanoid robot to engage in a proactive, mixed-initiative exploration and manipulation of its environment, where the initiative can originate from both the human and the robot.
no code implementations • 8 Nov 2016 • Samuel Fernando, Roger K. Moore, David Cameron, Emily C. Collins, Abigail Millings, Amanda J. Sharkey, Tony J. Prescott
Automatic speech recognition (ASR) allows a natural and intuitive interface for robotic educational applications for children.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2