Mehdi Jafarnia-Jahromi

According to our database, Mehdi Jafarnia-Jahromi authored at least 11 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Posterior sampling-based online learning for the stochastic shortest path model.

Mehdi Jafarnia-Jahromi, Liyu Chen, Rahul Jain, Haipeng Luo

Proceedings of the Uncertainty in Artificial Intelligence, 2023

2022

Online Learning for Cooperative Multi-Player Multi-Armed Bandits.

William Chang, Mehdi Jafarnia-Jahromi, Rahul Jain

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Online Learning for Unknown Partially Observable MDPs.

Mehdi Jafarnia-Jahromi, Rahul Jain, Ashutosh Nayyar

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Learning Zero-sum Stochastic Games with Posterior Sampling.

Mehdi Jafarnia-Jahromi, Rahul Jain, Ashutosh Nayyar

CoRR, 2021

Online Learning for Stochastic Shortest Path Model via Posterior Sampling.

Mehdi Jafarnia-Jahromi, Liyu Chen, Rahul Jain, Haipeng Luo

CoRR, 2021

Implicit Finite-Horizon Approximation and Efficient Optimal Algorithms for Stochastic Shortest Path.

Liyu Chen, Mehdi Jafarnia-Jahromi, Rahul Jain, Haipeng Luo

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Infinite-horizon Average-reward MDPs with Linear Function Approximation.

Chen-Yu Wei, Mehdi Jafarnia-Jahromi, Haipeng Luo, Rahul Jain

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Non-indexability of the stochastic appointment scheduling problem.

Mehdi Jafarnia-Jahromi, Rahul Jain

Autom., 2020

Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes.

Chen-Yu Wei, Mehdi Jafarnia-Jahromi, Haipeng Luo, Hiteshi Sharma, Rahul Jain

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Approximate Relative Value Learning for Average-reward Continuous State MDPs.

Hiteshi Sharma, Mehdi Jafarnia-Jahromi, Rahul Jain

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

PPD: Permutation Phase Defense Against Adversarial Examples in Deep Learning.

Mehdi Jafarnia-Jahromi, Tasmin Chowdhury, Hsin-Tai Wu, Sayandev Mukherjee

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019