Mohammad Sadegh Talebi

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it
• Management Science and Operations Research — 9 citations into it
• Reinforcement Learning — 8 citations into it

Whom Mohammad Sadegh Talebi trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Peter Auer
2. Ronald Ortner
3. Thomas Jaksch
4. Stéphane Boucheron
5. Sarah Filippi
6. Gábor Lugosi
7. Peter L. Bartlett
8. Olivier Capp'e
9. Apostolos N. Burnetas
10. Shipra Agrawal

Who trusts Mohammad Sadegh Talebi overall

1. Andrea Zanette
2. Aldo Pacchiano

Papers from Mohammad Sadegh Talebi's perspective

Ordered by how strongly the researchers Mohammad Sadegh Talebi trusts endorse each paper. Same corpus, a different order for every researcher.

1. Optimal Adaptive Policies for Markov Decision Processes
2. Near-optimal Regret Bounds for Reinforcement Learning
3. Minimax Regret Bounds for Reinforcement Learning
4. Logarithmic Online Regret Bounds for Undiscounted Reinforcement Learning
5. REGAL: A Regularization based Algorithm for Reinforcement Learning in Weakly Communicating MDPs
6. Reinforcement Learning: An Introduction
7. Asymptotically Efficient Adaptive Allocation Rules
8. Near-Optimal Reinforcement Learning in Polynomial Time
9. Optimistic posterior sampling for reinforcement learning: worst-case regret bounds
10. Markov Decision Processes: Discrete Stochastic Dynamic Programming

Their papers

• Variance-Aware Regret Bounds for Undiscounted Reinforcement Learning in MDPs (2018) — 79 citations