Follow
Chris Beeler
Title
Cited by
Cited by
Year
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
522019
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
42023
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
The system can't perform the operation now. Try again later.
Articles 1–10