WITH TIME DELAYS

By A. Uraz, Jalan Semarak, K. Lumpur.. 1990

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Thomas Unterthiner
2. Michael Widrich
3. José Antonio Arjona-Medina
4. J. Urgen Schmidhuber
5. Wojciech Samek
6. Michael Gillhofer
7. Yoshua Bengio
8. Sepp Hochreiter

Citations in the corpus

• RUDDER: Return Decomposition for Delayed Rewards (2018, background): “Delayed rewards are often episodic or sparse and common in real-world problems [26, 21].”
• DifferentialEquations.jl – A Performant and Feature-Rich Ecosystem for Solving Differential Equations in Julia (2017, methodology): “Delay differential equations have become a ubiquitous tool for modeling phenomena with natural delays as seen in Neuroscience [3, 22] and control theory [24].”