Follow
Scott M. Jordan
Scott M. Jordan
Postdoctoral Fellow, University of Alberta
Verified email at ualberta.ca - Homepage
Title
Cited by
Cited by
Year
Learning action representations for reinforcement learning
Y Chandak, G Theocharous, J Kostas, S Jordan, P Thomas
International conference on machine learning, 941-950, 2019
2062019
Evaluating the Performance of Reinforcement Learning Algorithms
SM Jordan, Y Chandak, D Cohen, M Zhang, PS Thomas
International Conference on Machine Learning, 2020
772020
Towards safe policy improvement for non-stationary MDPs
Y Chandak, S Jordan, G Theocharous, M White, PS Thomas
Advances in Neural Information Processing Systems 33, 9156-9168, 2020
302020
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
172019
Avoiding model estimation in robust markov decision processes with a generative model
W Yang, H Wang, T Kozuno, SM Jordan, Z Zhang
arXiv preprint arXiv:2302.01248 5, 2023
142023
Cloud computing beyond objects: seeding the cloud
S Fraser, R Biddle, S Jordan, K Keahey, B Marcus, EM Maximilien, ...
Proceedings of the 24th ACM SIGPLAN conference companion on Object oriented …, 2009
132009
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
112018
Behavior Alignment via Reward Function Optimization
D Gupta, Y Chandak, SM Jordan, PS Thomas, B C da Silva
Advances in Neural Information Processing Systems 36, 2024
102024
Distributed evaluations: Ending neural point metrics
D Cohen, SM Jordan, WB Croft
arXiv preprint arXiv:1806.03790, 2018
82018
Impact of changes in tissue optical properties on near-infrared diffuse correlation spectroscopy measures of skeletal muscle blood flow
MF Bartlett, SM Jordan, DM Hueber, MD Nelson
Journal of Applied Physiology 130 (4), 1183-1195, 2021
52021
Robust Markov Decision Processes without Model Estimation
W Yang, H Wang, T Kozuno, SM Jordan, Z Zhang
arXiv preprint arXiv:2302.01248, 2023
42023
High confidence generalization for reinforcement learning
J Kostas, Y Chandak, SM Jordan, G Theocharous, P Thomas
International Conference on Machine Learning, 5764-5773, 2021
42021
Goal-space Planning with Subgoal Models
C Lo, K Roice, PM Panahi, SM Jordan, G Mihucz, A White, ...
arXiv preprint arXiv:2206.02902, 2022
32022
Position: Benchmarking is Limited in Reinforcement Learning Research
SM Jordan, A White, BC Da Silva, M White, PS Thomas
arXiv preprint arXiv:2406.16241, 2024
12024
A New View on Planning in Online Reinforcement Learning
K Roice, PM Panahi, SM Jordan, A White, M White
arXiv preprint arXiv:2406.01562, 2024
12024
Coagent Networks: Generalized and Scaled
JE Kostas, SM Jordan, Y Chandak, G Theocharous, D Gupta, M White, ...
arXiv preprint arXiv:2305.09838, 2023
12023
Learning to use a ratchet by modeling spatial relations in demonstrations
LY Ku, S Jordan, J Badger, E Learned-Miller, R Grupen
Proceedings of the 2018 International Symposium on Experimental Robotics …, 2020
12020
From Past to Future: Rethinking Eligibility Traces
D Gupta, SM Jordan, S Chaudhari, B Liu, PS Thomas, BC da Silva
Proceedings of the AAAI Conference on Artificial Intelligence 38 (11), 12253 …, 2024
2024
Rigorous Experimentation For Reinforcement Learning
SM Jordan
2023
Scientific Experimentation for Reinforcement Learning
SM JORDAN
2022
The system can't perform the operation now. Try again later.
Articles 1–20