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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
1882019
Evaluating the Performance of Reinforcement Learning Algorithms
SM Jordan, Y Chandak, D Cohen, M Zhang, PS Thomas
International Conference on Machine Learning, 2020
642020
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
292020
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 23, 2023
102023
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
102018
Distributed evaluations: Ending neural point metrics
D Cohen, SM Jordan, WB Croft
arXiv preprint arXiv:1806.03790, 2018
82018
Goal-space Planning with Subgoal Models
C Lo, K Roice, PM Panahi, SM Jordan, G Mihucz, A White, ...
arXiv preprint arXiv:2206.02902, 2022
42022
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
42021
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
32024
High confidence generalization for reinforcement learning
J Kostas, Y Chandak, SM Jordan, G Theocharous, P Thomas
International Conference on Machine Learning, 5764-5773, 2021
32021
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
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
2024
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
Robust Markov Decision Processes without Model Estimation
W Yang, H Wang, T Kozuno, SM Jordan, Z Zhang
arXiv preprint arXiv:2302.01248, 2023
2023
Rigorous Experimentation For Reinforcement Learning
SM Jordan
2023
Scientific Experimentation for Reinforcement Learning
SM JORDAN
2022
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
2019
Position: Benchmarking is Limited in Reinforcement Learning Research
SM Jordan, A White, BC da Silva, M White, PS Thomas
Forty-first International Conference on Machine Learning, 0
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