Eser Aygün

Reinforcement Learning · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 23 citations into it
• Artificial Intelligence — 16 citations into it

Whom Eser Aygün trusts overall

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

1. Richard S. Sutton

Papers from Eser Aygün's perspective

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

1. Reinforcement Learning: An Introduction
2. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
3. MuJoCo: A physics engine for model-based control
4. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
5. Policy Gradient Methods for Reinforcement Learning with Function Approximation
6. Markov Decision Processes: Discrete Stochastic Dynamic Programming
7. Feudal Reinforcement Learning
8. High-Dimensional Continuous Control Using Generalized Advantage Estimation
9. FeUdal Networks for Hierarchical Reinforcement Learning
10. Deterministic Policy Gradient Algorithms

Their papers

• The Option Keyboard: Combining Skills in Reinforcement Learning (2021) — 116 citations