Jordan, Scott M.

1. Evaluating the Performance of Reinforcement Learning Algorithms
   2020/06/30 by Jordan, Scott M., Chandak, Yash, Cohen, Daniel +2 · 5 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
2. Behavior Alignment via Reward Function Optimization
   2023/10/29 by Gupta, Dhawal, Chandak, Yash, Jordan, Scott M. +2 · 5 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
3. Robust Markov Decision Processes without Model Estimation
   2023/02/02 by Wenhao Yang, Yang, Wenhao, Han Wang +7 · 2 citations
   Computer Science · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
4. Position: Benchmarking is Limited in Reinforcement Learning Research
   2024/06/23 by Scott M. Jordan, Adam White, Jordan, Scott M. +7 · 3 citations
   Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Methodology (stat.ME) #Open Source Software Innovations
5. Towards Safe Policy Improvement for Non-Stationary MDPs
   2020/10/23 by Chandak, Yash, Jordan, Scott M., Theocharous, Georgios +2 · 1 citation
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
6. From Past to Future: Rethinking Eligibility Traces
   2023/12/20 by Gupta, Dhawal, Jordan, Scott M., Chaudhari, Shreyas +3 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG)