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All Outputs (4)

Achieving goals using reward shaping and curriculum learning (2023)
Presentation / Conference
Studley, M., hansen, M., anca, M., thomas, J., & pedamonti, D. (2023, November). Achieving goals using reward shaping and curriculum learning. Paper presented at Future Technologies Conference, San Francisco

Real-time control for robotics is a popular research area in the reinforcement learning community. Through the use of techniques such as reward shaping, researchers have managed to train online agents across a multitude of domains. Despite these adva... Read More about Achieving goals using reward shaping and curriculum learning.

Roots and models (2023)
Journal Article
Studley, M., & deLahunta, S. (2023). Roots and models. AI and Society, 38, 1977–1979. https://doi.org/10.1007/s00146-023-01701-5

One of us comes from dance, the other from robotics, and you would be forgiven for thinking immediately about the YouTube films created by Boston Dynamics. But what connects us is our concern that human-ness is losing ground to machine-ness. To partl... Read More about Roots and models.

European robotics league: Benchmarking through smart city robot competitions (2023)
Book Chapter
Studley, M., Carter, S., Perez-Grau, F. J., Viguria, A., Ferri, G., Ferreira, F., …Iocchi, L. (in press). European robotics league: Benchmarking through smart city robot competitions. In D. R. Vinjamuri (Ed.), Human-Robot Interaction - Perspectives and Applications. InTech. https://doi.org/10.5772/intechopen.108583

The SciRoc project, started in 2018, is an EU-H2020 funded project supporting the European Robotics League (ERL) and builds on the success of the EU-FP7/H2020 projects RoCKIn, euRathlon, EuRoC and ROCKEU2. The ERL is a framework for robot competition... Read More about European robotics league: Benchmarking through smart city robot competitions.