Measuring Exploration in Reinforcement Learning via Optimal Transport in Policy Space

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.

reinforcement-learning Reinforcement Learning (RL) +1

A Robotic Model of Hippocampal Reverse Replay for Reinforcement 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.

Hippocampus reinforcement-learning +1

DAC-h3: A Proactive Robot Cognitive Architecture to Acquire and Express Knowledge About the World and the Self

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.

Automatic recognition of child speech for robotic applications in noisy environments

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