Elie Hachem

Artificial Intelligence · 2019

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

Subfields

• Artificial Intelligence — 29 citations into it
• Optimization & Training — 6 citations into it

Whom Elie Hachem trusts

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

1. Nikolaus Hansen (in Artificial Intelligence)

Papers from Elie Hachem's perspective

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

1. Asynchronous Methods for Deep Reinforcement Learning
2. Long Short-Term Memory
3. Proximal Policy Optimization Algorithms (arXiv.org)
4. Prioritized Experience Replay
5. Temporal Difference Learning and TD-Gammon
6. Learning to predict by the methods of temporal differences
7. Domain randomization for transferring deep neural networks from simulation to the real world
8. An Actor-Critic Algorithm for Sequence Prediction
9. A Markovian Decision Process
10. Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning

Their papers

• A review on Deep Reinforcement Learning for Fluid Mechanics (2019) — 330 citations