| Effect of synthesis temperature on size, structure, and volume phase transition of polysaccharide microgels KG Freeman, J Adamczyk, KA Streletzky Macromolecules 53 (21), 9244-9253, 2020 | 4 | 2020 |
| Entropy regularized reinforcement learning using large deviation theory A Arriojas, J Adamczyk, S Tiomkin, RV Kulkarni Physical Review Research 5 (2), 023085, 2023 | 3 | 2023 |
| Utilizing prior solutions for reward shaping and composition in entropy-regularized reinforcement learning J Adamczyk, A Arriojas, S Tiomkin, RV Kulkarni Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 6658-6665, 2023 | 2 | 2023 |
| Bounding the optimal value function in compositional reinforcement learning J Adamczyk, V Makarenko, A Arriojas, S Tiomkin, RV Kulkarni Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial …, 2023 | 1 | 2023 |
| Compositionality and Bounds for Optimal Value Functions in Reinforcement Learning J Adamczyk, S Tiomkin, R Kulkarni arXiv preprint arXiv:2302.09676, 2023 | 1 | 2023 |
| Neural Network Degeneration and its Relationship to the Brain J Adamczyk arXiv preprint arXiv:2008.00053, 2020 | 1 | 2020 |
| Average-Reward Reinforcement Learning Using Insights from Non-Equilibrium Statistical Mechanics J Adamczyk, A Arriojas Maldonado, S Tiomkin, R Kulkarni Bulletin of the American Physical Society, 2024 | | 2024 |
| Bayesian inference approach for entropy regularized reinforcement learning with stochastic dynamics A Arriojas, J Adamczyk, S Tiomkin, RV Kulkarni Uncertainty in Artificial Intelligence, 99-109, 2023 | | 2023 |
| Results from a Mapping Between Reinforcement Learning and Non-Equilibrium Statistical Mechanics J Adamczyk, A Arriojas Maldonado, S Tiomkin, R Kulkarni APS March Meeting Abstracts 2023, D02. 002, 2023 | | 2023 |
| Closed-Form Analytical Results for Maximum Entropy Reinforcement Learning Using Large Deviation Theory A Arriojas Maldonado, J Adamczyk, S Tiomkin, R Kulkarni APS March Meeting Abstracts 2022, D32. 003, 2022 | | 2022 |
| Novel approaches and bounds for maximum entropy reinforcement learning using nonequilibrium statistical mechanics J Adamczyk, A Arriojas Maldonado, S Tiomkin, R Kulkarni APS March Meeting Abstracts 2022, D32. 002, 2022 | | 2022 |
| Studying shunted SQUID measurements in a controlled magnetic field setting J Adamczyk, C Winkelmann Bulletin of the American Physical Society 64, 2019 | | 2019 |
| The Dynamics of Polymeric Microgels with Varying Crosslinker Concentration S Tietjen, J Adamczyk, K Streletzky APS March Meeting Abstracts 2019, G70. 031, 2019 | | 2019 |
| Phase Transitions in Polymeric Gels Induced by Crosslinking Entropy J Adamczyk, M Kaufman, K Streletzky APS March Meeting Abstracts 2019, G70. 036, 2019 | | 2019 |
| Towards Optimizing Synthesis Temperature for Microgels with Large Degree of Deswelling K Streletzky, K Freeman, J Adamczyk APS March Meeting Abstracts 2019, L70. 116, 2019 | | 2019 |
| The Effects of Crosslinker on Polymeric Microgels S Tietjen, J Adamczyk, K Streletzky Bulletin of the American Physical Society 63, 2018 | | 2018 |
| Towards Understanding Microgel Volume Phase Transitions J Adamczyk, S Tietjen | | 2018 |
| The Effects of Chemical Crosslinker on Polymeric Microgels S Tietjen, J Adamczyk | | 2018 |
| Bayesian Inference Approach for Entropy Regularized Reinforcement Learning with Stochastic Dynamics (Supplementary material) A Arriojas, J Adamczyk, S Tiomkin, RV Kulkarni | | |
Stas TiomkinAssistant Professor, San Jose State UniversityVerified email at sjsu.edu
