| Exploratory not explanatory: Counterfactual analysis of saliency maps for deep reinforcement learning A Atrey, K Clary, D Jensen arXiv preprint arXiv:1912.05743, 2019 | 113 | 2019 |
| Measuring and characterizing generalization in deep reinforcement learning S Witty, JK Lee, E Tosch, A Atrey, K Clary, ML Littman, D Jensen Applied AI Letters 2 (4), e45, 2021 | 69 | 2021 |
| Let's play again: Variability of deep reinforcement learning agents in atari environments K Clary, E Tosch, J Foley, D Jensen arXiv preprint arXiv:1904.06312, 2019 | 33 | 2019 |
| Toybox: Better atari environments for testing reinforcement learning agents J Foley, E Tosch, K Clary, D Jensen arXiv preprint arXiv:1812.02850, 2018 | 9 | 2018 |
| Toybox: a suite of environments for experimental evaluation of deep reinforcement learning E Tosch, K Clary, J Foley, D Jensen arXiv preprint arXiv:1905.02825, 2019 | 6 | 2019 |
| Novelty in 2D CartPole Domain PA Grabowicz, C Pereyda, K Clary, R Stern, T Boult, D Jensen, LB Holder A Unifying Framework for Formal Theories of Novelty: Discussions, Guidelines …, 2023 | 1 | 2023 |
| Stick It to The Man: Correcting for {Non-Cooperative} Behavior of Subjects in Experiments on Social Networks K Clary, E Tosch, J Onaolapo, DD Jensen 31st USENIX Security Symposium (USENIX Security 22), 3771-3788, 2022 | 1 | 2022 |
| A/B Testing in Networks with Adversarial Members K Clary, D Jensen preparation, 2017 | 1 | 2017 |
| Assessing learned representations under open-world novelty K Clary Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 16115 …, 2023 | | 2023 |
| KDL A Atrey, K Clary, D Jensen | | |
David JensenProfessor of Computer Science, University of Massachusetts AmherstVerified email at cs.umass.edu
