Elad Liebman

Reinforcement Learning · 2016

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 10 citations into it
• Artificial Intelligence — 9 citations into it

Whom Elad Liebman trusts overall

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

1. Richard S. Sutton
2. Rémi Coulom
3. Andrew Barto
4. Jing Peng
5. Levente Kocsis
6. Ryuichi Oka
7. George Dimitri Konidaris
8. Peter Auer
9. Ronald J. Williams

Who trusts Elad Liebman overall

1. José Antonio Arjona-Medina

Papers from Elad Liebman's perspective

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

1. Finite-time Analysis of the Multiarmed Bandit Problem
2. Efficient Selectivity and Backup Operators in Monte-Carlo Tree Search
3. Introduction to Reinforcement Learning
4. Bandit Based Monte-Carlo Planning
5. Learning from delayed rewards
6. Incremental multi-step Q-learning
7. TD_gamma: Re-evaluating Complex Backups in Temporal Difference Learning
8. Dynamic Programming
9. Reinforcement Learning: An Introduction
10. Policy Evaluation Using the Ω-Return

Their papers

• On the Analysis of Complex Backup Strategies in Monte Carlo Tree Search (2016) — 22 citations