Active Measure Reinforcement Learning for Observation Cost Minimization. C Bellinger, R Coles, M Crowley, I Tamblyn Canadian Conference on AI, 2021 | 18 | 2021 |
Optimizing thermodynamic trajectories using evolutionary and gradient-based reinforcement learning C Beeler, U Yahorau, R Coles, K Mills, S Whitelam, I Tamblyn Physical Review E 104 (6), 064128, 2021 | 10* | 2021 |
RFI novelty detection using machine learning techniques S Harrison, R Coles, T Robishaw, D Del Rizzo 2019 RFI Workshop-Coexisting with Radio Frequency Interference (RFI), 1-6, 2019 | 6 | 2019 |
Reinforcement learning in a physics-inspired Semi-Markov environment C Bellinger, R Coles, M Crowley, I Tamblyn Advances in Artificial Intelligence: 33rd Canadian Conference on Artificial …, 2020 | 2 | 2020 |
Reinforcement Learning and the Cost of Observation R Coles, C Bellinger, I Tamblyn Bulletin of the American Physical Society 65, 2020 | | 2020 |
Using machine learning methods to aid scientists in laboratory environments R Coles University of Ontario Institute of Technology (Canada), 2019 | | 2019 |
Reinforcement Learning and the Scientific Method R Coles, I Tamblyn APS March Meeting Abstracts 2019, F21. 004, 2019 | | 2019 |
Maximizing thermal efficiency of heat engines using neuroevolutionary strategies for reinforcement learning C Beeler, U Yahorau, R Coles, K Mills, I Tamblyn APS March Meeting Abstracts 2019, H52. 012, 2019 | | 2019 |