Extensive deep neural networks for transferring small scale learning to large scale systems K Mills, K Ryczko, I Luchak, A Domurad, C Beeler, I Tamblyn Chemical science 10 (15), 4129-4140, 2019 | 53 | 2019 |
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 |
Chemgymrl: An interactive framework for reinforcement learning for digital chemistry C Beeler, SG Subramanian, K Sprague, N Chatti, C Bellinger, M Shahen, ... arXiv preprint arXiv:2305.14177, 2023 | 4 | 2023 |
ChemGymRL: A Customizable Interactive Framework for Reinforcement Learning for Digital Chemistry C Beeler, SG Subramanian, K Sprague, M Baula, N Chatti, A Dawit, X Li, ... Digital Discovery, 2024 | | 2024 |
Demonstrating ChemGymRL: An Interactive Framework for Reinforcement Learning for Digital Chemistry C Beeler, SG Subramanian, K Sprague, C Bellinger, M Crowley, ... AI for Accelerated Materials Design-NeurIPS 2023 Workshop, 2023 | | 2023 |
Dynamic programming with incomplete information to overcome navigational uncertainty in a nautical environment C Beeler, X Li, C Bellinger, M Crowley, M Fraser, I Tamblyn arXiv preprint arXiv:2112.14657, 2021 | | 2021 |
Dynamic programming with partial information to overcome navigational uncertainty in a nautical environment. C Beeler, X Li, M Crowley, M Fraser, I Tamblyn CoRR, 2021 | | 2021 |
Perpetually playing physics C Beeler University of Ontario Institute of Technology (Canada), 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 |
Extensive deep neural networks for 2d materials I Luchak, K Mills, K Ryczko, A Domurad, C Beeler, I Tamblyn APS March Meeting Abstracts 2018, R12. 001, 2018 | | 2018 |