Scott M. Jordan
Scott M. Jordan
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Cited by
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Learning action representations for reinforcement learning
Y Chandak, G Theocharous, J Kostas, S Jordan, PS Thomas
arXiv preprint arXiv:1902.00183, 2019
Distributed evaluations: Ending neural point metrics
D Cohen, SM Jordan, WB Croft
arXiv preprint arXiv:1806.03790, 2018
Using Cumulative Distribution Based Performance Analysis to Benchmark Models
SM Jordan, D Cohen, PS Thomas
NeurIPS 2018 Workshop on Critiquing and Correcting Trends in Machine Learning, 2018
Learning to use a ratchet by modeling spatial relations in demonstrations
LY Ku, S Jordan, J Badger, E Learned-Miller, R Grupen
International Symposium on Experimental Robotics, 398-410, 2018
Evaluating the Performance of Reinforcement Learning Algorithms
SM Jordan, Y Chandak, D Cohen, M Zhang, PS Thomas
arXiv preprint arXiv:2006.16958, 2020
Learning a Better Negative Sampling Policy with Deep Neural Networks for Search
D Cohen, SM Jordan, WB Croft
Proceedings of the 2019 ACM SIGIR International Conference on Theory of …, 2019
Classical Policy Gradient: Preserving Bellman's Principle of Optimality
PS Thomas, SM Jordan, Y Chandak, C Nota, J Kostas
arXiv preprint arXiv:1906.03063, 2019
Summary of Experiments in Belief-Space Planning at the Laboratory for Perceptual Robotics
SM Jordan, D Ruiken, TQ Liu, T Takahashi, MW Lanighan, RA Grupen
2017 AAAI Spring Symposium Series, 2017
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